Updated on 2024/09/20

写真a

 
NAGATSUKA Hideki
 
Organization
Faculty of Science and Engineering Professor
Other responsible organization
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Master's Program
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Doctoral Program
Contact information
The inquiry by e-mail is 《here
Profile
External link

Degree

  • 博士(工学) ( 中央大学 )

  • 修士(工学) ( 中央大学 )

Education

  • 2004.3
     

    Chuo University   Graduate School, Division of Science and Engineering   doctor course   completed

  • 2000.3
     

    Chuo University   Graduate School, Division of Science and Engineering   master course   completed

  • 1998.3
     

    Chuo University   Faculty of Science and Engineering   graduated

Research History

  • 2015.4 - Now

    Chuo University   Department of Industrial and Systems Engineering   Professor

  • 2013.4 - 2015.3

    Chuo University   Department of Industrial and Systems Engineering   Associate Professor

  • 2005.4 - 2013.3

    Tokyo Metropolitan University   Faculty of System Design, Division of Management Systems Engineering   Assistant Professor

  • 2011.8 - 2011.9

    McMaster University (Canada) 客員研究員

  • 2010.9    

    McMaster University (Canada) 客員研究員

  • 2004.4 - 2005.3

    Chuo University   Faculty of Science and Engineering

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Professional Memberships

  • 2019.7 - Now

    Communications in Statistics - Theory and Methods (Taylor & Francis), Associate Editor

  • 2019.7 - Now

    Communications in Statistics - Simulation and Computation (Taylor & Francis), Associate Editor

  • 2019.7 - Now

    Communications in Statistics: Case Studies, Data Analysis and Applications (Taylor & Francis), Associate Editor

  • 2017.1 - Now

    International Statistical Institute (ISI), Elected Member

  • 2015.1 - Now

    Lifetime Data Analysis (Springer), Associate Editor

  • 2013.8 - Now

    日本計算機統計学会

  • 2013.6 - Now

    応用統計学会

  • 2010.12 - Now

    Institute of Mathematical Statistics (IMS)

  • 2009.7 - Now

    日本品質管理学会

  • 2009.3 - Now

    American Society for Quality (ASQ)

  • 2008.12 - Now

    電子情報通信学会

  • 2008.12 - Now

    The Institute of Electrical and Electronics Engineers, Inc. (IEEE)

  • 2008.9 - Now

    The American Statistical Association (ASA)

  • 2007.6 - Now

    日本経営工学会

  • 1999.7 - Now

    日本統計学会

  • 1998.5 - Now

    日本信頼性学会

  • 2010 - 2018

    経営工学関連学会協議会

  • 2011.1 - 2015.1

    IEEE Reliability Society Japan Chapter

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Research Interests

  • 非正則分布の統計的推測

  • 劣化現象の統計モデリングと予測

  • ベイズ統計

  • 極値統計

  • ロバスト統計

  • 統計学 機械学習 品質管理 信頼性工学

Research Areas

  • Natural Science / Applied mathematics and statistics

  • Informatics / Statistical science

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

Papers

  • Development of an Indentation Mapping System to Search Extremum in the Hardness Reviewed

    Aoi Takagi, Akio Yonezu, Hideki Nagatsuka

    Journal of Material Testing Research Association of Japan   69 ( 3 )   94 - 100   2024.7

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  • Machine learning–based estimation method for the mechanical response of composite cellular structures Reviewed

    Aoi Takagi, Ryo Ichikawa, Takeru Miyagawa, Jinlan Song, Akio Yonezu, Hideki Nagatsuka

    Polymer Testing (Elsevier)   126   108161 - 108161   2023.9

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.polymertesting.2023.108161

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  • New Anomaly Detection Method based on the Multivariate Generalized Pareto Distributions Reviewed

    Ryo Nezaki, Hideki Nagatsuka

    Total Quality Science   8 ( 2 )   89 - 99   2023

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.17929/tqs.8.89

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  • A Conditional Maximum Likelihood Estimation of the COM-Poisson Distribution and its Uniqueness and Existence Reviewed

    Youhei Tomio, Hideki Nagatsuka

    Total Quality Science   7 ( 3 )   137 - 148   2022

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    DOI: 10.17929/tqs.7.137

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  • Optimal Test Planning for Heterogeneous Inverse Gaussian Processes Reviewed International coauthorship International journal

    Chien-Yu Peng, Hideki Nagatsuka, Ya-Shan Cheng

    Lifetime Data Analysis (Springer)   28 ( 3 )   401 - 427   2022

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    DOI: 10.1007/s10985-022-09556-6

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  • New Stochastic Degradation Models Based on the Family of Powered Inverse Gaussian Distributions Reviewed

    Takuya Fushihara, Hideki Nagatsuka

    Total Quality Science   7 ( 3 )   102 - 112   2022

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    DOI: 10.17929/tqs.7.102

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  • Efficient Likelihood-Based Inference for the Generalized Pareto Distribution Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Annals of the Institute of Statistical Mathematics (Springer)   73 ( 6 )   1153 - 1185   2021.12

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer  

    DOI: 10.1007/s10463-020-00782-z

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  • Evaluation of crack propagation behavior of porous polymer membranes Reviewed International journal

    Yasuhisa Kodaira, Tatsuma Miura, Shoma Ito, Kanako Emori, Akio Yonezu, Hideki Nagatsuka

    Polymer Testing (Elsevier)   96   107124 - 107124   2021.4

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    DOI: 10.1016/j.polymertesting.2021.107124

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  • A Stochastic Degradation Model Based on the Birnbaum-Saunders Distribution Reviewed

    Kenji Fujita and Hideki Nagatsuka

    Total Quality Science   6 ( 1 )   1 - 10   2021.1

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society for Quality Control  

    DOI: 10.17929/tqs.6.1

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  • Characterizations of crack growth behavior of porous polymer membranes using digital image correlation and finite element method

    Yasuhisa Kodaira, Tatsuma Miura, Shoma Ito, Akio Yonezu, Hideki Nagatsuka

    ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)   12   2020

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:American Society of Mechanical Engineers (ASME)  

    This study investigated the crack growth behavior of porous polymer membranes, experimentally and numerically, in order to clarify the criterion of crack growth. A notch was introduced into the membrane as an initial crack (pre-crack) and a uniaxial loading was applied for the stable crack propagation. During the test, crack propagation behavior was observed using a CCD camera and Digital Image Correlation (DIC) method. The strain around the pre-crack tip at the onset of crack propagation was measured experimentally using DIC method. It was clarified that large-scale yielding developed before the onset of crack growth. The stable crack propagation was observed for all tensile tests. In parallel, a homogenized model that mimicked porous polymer membrane was created using finite element method (FEM) in order to investigate stress/strain distribution around the crack tip. This study employed the yield criterion proposed by Deshpande and Fleck. The computed strain distribution was compared with that of experiment, showing a good agreement each other. By using strain distribution from DIC method and FEM computation, J-integral value was calculated to investigate the criterion of crack growth. Regardless of the initial crack length, it is found that the J-integral value at the initiation of crack growth becomes constant for all tests. It is concluded that we successfully determined the criterion of crack propagation of porous polymer membrane. Therefore, our study using DIC experiment and FEM computation is useful to clarify the crack growth behavior of porous polymer membrane and determines the criterion of crack propagation.

    DOI: 10.1115/IMECE2020-23456

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  • On a Stochastic Degradation Model based on the Generalized Inverse Gaussian distribution Reviewed

    Leona Tamaru, Hideki Nagatsuka

    Asian Journal of Management Science and Applications   4 ( 1 )   49 - 58   2019.8

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    DOI: 10.1504/AJMSA.2019.10022919

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  • A Stochastic Model for Predicting the Number of Failures in Gas Systems Reviewed

    Ryoma Sumita, Hideki Nagatsuka

    Journal of information and management   38 ( 1 )   79 - 84   2018.5

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  • A consistent method of estimation for the three-parameter lognormal distribution based on Type-II right censored data Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Communications in Statistics - Theory and Methods (Taylor & Francis)   45 ( 19 )   5693 - 5708   2016.10

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    In this paper, we propose a parameter estimation method for the three-parameter lognormal distribution based on Type-II right censored data. In the proposed method, under mild conditions, the estimates always exist uniquely in the entire parameter space, and the estimators also have consistency over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method performs very well compared to a prominent method of estimation in terms of bias and root mean squared error (RMSE) in small-sample situations. Finally, two examples based on real data sets are presented for illustrating the proposed method.

    DOI: 10.1080/03610926.2014.948205

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  • Existence, uniqueness and consistency of estimation of life characteristics of three-parameter Weibull distribution based on Type-II right censored data Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Computation and Simulation (Taylor & Francis)   86 ( 6 )   1248 - 1279   2016.4

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Taylor & Francis  

    In this paper, we propose a new method of estimation for the parameters and quantiles of the three-parameter Weibull distribution based on Type-II right censored data. The method, based on a data transformation, overcomes the problem of unbounded likelihood. In the proposed method, under mild conditions, the estimates always exist uniquely, and the estimators are also consistent over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method of estimation performs well compared to some prominent methods in terms of bias and root mean squared error in small-sample situations. Finally, two real data sets are used to illustrate the proposed method of estimation.

    DOI: 10.1080/00949655.2015.1060236

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  • Consistent estimation of parameters and quantiles of the three-parameter gamma distribution based on Type-II right-censored data Reviewed

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Computation and Simulation (Taylor & Francis)   85 ( 12 )   2406 - 2424   2015.8

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Taylor & Francis  

    In this paper, we propose a method of estimation of parameters and quantiles of the three-parameter gamma distribution based on Type-II right-censored data. In the proposed method, under mild conditions, the estimates always exist uniquely, and the estimators have consistency over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method performs well compared with another prominent method of estimation in terms of bias and root mean-squared error in small-sample situations. Finally, two real data sets are used for illustrating the proposed method.

    DOI: 10.1080/00949655.2014.930861

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  • An Efficient Method of Parameter and Quantile Estimation for the Three-Parameter Weibull Distribution Based on Statistics Invariant to Unknown Location Parameter Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Communications in Statistics - Simulation and Computation (Taylor & Francis)   44 ( 2 )   295 - 318   2015.2

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    The three-parameter Weibull distribution is widely used in life testing and reliability analysis. In this article, we propose an efficient method for the estimation of parameters and quantiles of the three-parameter Weibull distribution, which avoids the problem of unbounded likelihood, by using statistics invariant to unknown location. Through a Monte Carlo simulation study, we show that the proposed method performs well compared to other prominent methods based on bias and MSE. Finally, we present two illustrative examples.

    DOI: 10.1080/03610918.2013.775297

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  • A method for estimating parameters and quantiles of the three-parameter inverse Gaussian distribution based on statistics invariant to unknown location Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Computation and Simulation (Taylor & Francis)   84 ( 11 )   2361 - 2377   2014.11

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    The inverse Gaussian (IG) distribution, also known as the Wald distribution, is a long-tailed positively skewed distribution and a well-known lifetime distribution. In this paper, we propose an efficient method of estimation for the parameters and quantiles of the three-parameter IG distribution, which is based on statistics invariant to unknown location. Through a Monte Carlo simulation study, we then show that the proposed method performs well compared with other prominent methods in terms of bias and variance. Finally, we present two illustrative examples.

    DOI: 10.1080/00949655.2013.795564

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  • A consistent method of estimation for the three-parameter gamma distribution Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan, Toshinari Kamakura

    Communications in Statistics - Theory and Methods (Taylor & Francis)   43 ( 18 )   3905 - 3926   2014.9

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    For the three-parameter gamma distribution, it is known that the method of moments as well as the maximum likelihood method have difficulties such as non-existence in some range of the parameters, convergence problems, and large variability. For this reason, in this article, we propose a method of estimation based on a transformation involving order statistics from the sample. In this method, the estimates always exist uniquely over the entire parameter space, and the estimators also have consistency over the entire parameter space. The bias and mean squared error of the estimators are also examined by means of a Monte Carlo simulation study, and the empirical results show the small-sample superiority in addition to the desirable large sample properties.

    DOI: 10.1080/03610926.2012.714035

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  • Comments: EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discrimination by N. Balakrishnan and Debanjan Mitra Invited Reviewed

    Hideki Nagatsuka

    South African Statistical Journal   48 ( 2 )   173 - 175   2014.9

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  • A consistent method of estimation for the parameters of the three-parameter inverse Gaussian distribution Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Computation and Simulation (Taylor & Francis)   83 ( 10 )   1915 - 1931   2013.10

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  • Parameter and quantile estimation for the three-parameter lognormal distribution based on statistics invariant to unknown location Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Computation and Simulation (Taylor & Francis)   83 ( 9 )   1629 - 1647   2013.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Taylor & Francis  

    Lognormal distribution is one of the popular distributions used for modelling positively skewed data, especially those encountered in economic and financial data. In this paper, we propose an efficient method for the estimation of parameters and quantiles of the three-parameter lognormal distribution, which avoids the problem of unbounded likelihood, by using statistics that are invariant to unknown location. Through a Monte Carlo simulation study, we then show that the proposed method performs well compared to other prominent methods in terms of both bias and mean-squared error. Finally, we present two illustrative examples. © 2013 Copyright Taylor and Francis Group, LLC.

    DOI: 10.1080/00949655.2012.667410

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  • The exact finite-sample distribution of the median absolute deviation about the median of continuous random variables Reviewed International coauthorship International journal

    Hideki Nagatsuka, Hiroshi Kawakami, Toshinari Kamakura, Hisashi Yamamoto

    Statistics & Probability Letters (Elsevier)   83 ( 4 )   999 - 1005   2013.4

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier  

    In this work, the exact finite-sample distribution of the median absolute deviation about the median (MAD) of continuous random variables is derived. The main results are used for providing exact confidence intervals for the scale parameter of a location-scale model, which are robust to the presence of outliers. (C) 2012 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.spl.2012.12.023

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  • A consistent method of estimation for the three-parameter Weibull distribution Reviewed International coauthorship International journal

    Hideki Nagatsuka, Toshinari Kamakura, N. Balakrishnan

    Computational Statistics and Data Analysis (Elsevier)   58 ( 1 )   210 - 226   2013.2

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier  

    In this paper, we propose a new method for the estimation of parameters of the three-parameter Weibull distribution. The method is based on a data transformation, which avoids the problem of unbounded likelihood. In the proposed method, under mild conditions, the estimates always exist uniquely in the entire parameter space, and the estimators also have consistency over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method performs better than some existing methods in terms of bias and root mean squared error (RMSE). Finally, two examples based on real data sets are presented to illustrate the proposed method. © 2010 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.csda.2012.09.005

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  • Parameter and quantile estimation for the three-parameter gamma distribution based on statistics invariant to unknown location Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Planning and Inference (Elsevier)   142 ( 7 )   2087 - 2102   2012.7

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier  

    The three-parameter gamma distribution is widely used as a model for distributions of life spans, reaction times, and for other types of skewed data. In this paper, we propose an efficient method of estimation for the parameters and quantiles of the three-parameter gamma distribution, which avoids the problem of unbounded likelihood, based on statistics invariant to unknown location. Through a Monte Carlo simulation study, we then show that the proposed method performs well compared to other prominent methods in terms of bias and mean squared error. Finally, we present two illustrative examples. (C) 2012 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.jspi.2012.01.018

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  • A consistent parameter estimation in the three-parameter lognormal distribution Reviewed International coauthorship International journal

    Hideki Nagatsuka, N. Balakrishnan

    Journal of Statistical Planning and Inference (Elsevier)   142 ( 7 )   2071 - 2086   2012.6

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier  

    In this work, we propose a consistent method of estimation for the parameters of the three-parameter lognormal distribution. We then discuss some properties of these estimators and show by means of a Monte Carlo simulation study that the proposed estimators perform better than some other prominent estimators in terms of bias and root mean squared error. Finally, we present two real-life examples to illustrate the method of estimation proposed. (C) 2012 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.jspi.2012.01.019

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  • Parameter Estimation of Multivariate Distributions under Order Restrictions of the Parameters: An Extension of Isotonic Regression Reviewed

    Hideki Nagatsuka, Megumi Uchino, Hisashi Yamamoto

    Quality Technology and Quantitative Management   9 ( 3 )   283 - 293   2012.3

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:NCTU-NATIONAL CHIAO TUNG UNIV PRESS  

    In this work, we propose a method of parameter estimation of continuous multivariate distributions under simple order restrictions on parameters. The method is an extension of the isotonic regression and relaxes the restriction the isotonic regression has. A Monte Carlo simulation study shows that the proposed estimators perform better than the conventional estimators in terms of root mean squared error. Finally, we present two examples to illustrate the method of inference developed here.

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  • A Fast Calculation Method for the Partial Group of All Pareto Solutions at a Three-Objective Network Reviewed

    Tomoaki Akiba, Hisashi Yamamoto, Dan-quin Riu, Hideki Nagatsuka

    Quality Technology and Quantitative Management   9 ( 3 )   305 - 316   2012.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:NCTU-NATIONAL CHIAO TUNG UNIV PRESS  

    The multi-objective network model can be applied to common problems with many conditions, for example, optimal routing of a network connection to the Internet services, optimally scheduling of a production and distribution systems, and multistage-structured modeling for supply chain management systems, etc. The shortest path problem is an optimization problem for finding the shortest path connecting two specific nodes of a directed or undirected graph. When considering not only the distances between the nodes but also other information, for example, toll, fuel cost, or gradient, the problem is formulated as a multi-objective shortest path problem that involves multiple conflicting objective functions. To solve the optimization problem of multi-objective network is difficult because the multiple objectives have to be simultaneously optimized. Thus, few algorithms for this problem have been proposed. In this study, we use a three-objective shortest path problem to find the shortest path between two terminal nodes on a network, and we propose three efficient algorithms for obtaining the Pareto solutions based on the extended Dijkstra's algorithm. We use our algorithms to find the partial group of all Pareto solutions. The results of the numerical experiments suggest that the proposed algorithms reduce the computing time and the memory size for obtaining the Pareto solutions. In addition, we show the algorithms could find almost set of solution in the Pareto solutions.

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  • Fast algorithm for optimal arrangement problems of multi-state consecutive-k-out-of-n:F system Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Takahiro Yamaguchi, Hideki Nagatsuka

    Journal of Japan Industrial Management Association   62 ( 6 )   247 - 255   2012.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Industrial Management Association  

    In many practical situations, the states of the systems and their components are assumed to take more than two different levels, ranging from working perfectly to complete failre. In a multi-state system, both the system and the components are allowed to be in M+1 possible states, where M is a positive integer that represents the system or components in a state working perfectly. while zero is a state of complete failure. Therefore, the multi-state system reliability model provides more flexibility for the modeling of equipment conditions. In this study, we discuss the multi-state consecutive-k-out-of-n:F system. This system is applicable to the quality control problem for batch products, preventive maintenance problem for oil pipeline systems, and similar items. For the consecutive-kout-of-n:F system, the optimal arrangement problem, where the solution is obtained by the arrangement of components with maximum system reliability, is one of the most important problems in this system. So, we consider the optimal component arrangement for a multi-state consecutive-k-out-of-n:F system that has the maximum expectation values for the system state distribution when these components are arranged in positions in the system. The multi-state consecutive-k-out-of-n:F system consists of ii components arranged along a linear path. As the number of components n increases, the number of calculations to obtain the exact solution to the optimal component arrangement problems becomes large. Therefore, in this study, first, we propose an algorithm for obtaining the exact solution for optimal arrangement problems in multi-state consecutive-k-out-of-n:F systems. It is possible to solve the problems if the expectations for all arrangements are calculated. However, we have to calculate the expected values for many arrangements. We propose an algorithm, which is based on the branch-and-bound method, to obtain optimal solutions for such problems and remove operations that are not useful via certain properties of the arrangements. Next, we evaluate our proposed algorithm in terms of the computing time. The results of the numerical experiments show that the proposed algorithm is more efficient for systems where the number of components a is large.

    DOI: 10.11221/jima.62.247

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  • An Evaluating Algorithm for System State Distributions of Generalized Multi-State k-out-of-N:F Systems Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Takahiro Yamaguchi, Hideki Nagatsuka

    Journal of Japan Industrial Management Association   61 ( 6E )   347 - 354   2011.2

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  • An efficient algorithm for the distribution of numbers of non-overlapping runs in a sequence of s-kind outcomes Reviewed

    Hisashi Yamamoto, Kohei Hamada, Hideki Nagatsuka

    Journal of Japan Industrial Management Association   60 ( 4 )   218 - 225   2009.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Industrial Management Association  

    In this paper, we consider the joint distribution of numbers in s-kind of runs in a sequence of independent trials with s possible outcomes in each trial. Though there are four ways of counting the number of runs, we focus on the non-overlapping enumeration scheme (Type I enumeration scheme), and propose an efficient algorithm for evaluating the distributions of the numbers in non-overlapping runs. We give the order of computing time and memory capacity of the proposed algorithm. Furthermore, we carry out numerical experiments to compare the performance of the proposed algorithm with that of the conventional enumeration algorithm with respect to computing time. The results show that the proposed algorithm is more efficient than the enumeration algorithm.

    DOI: 10.11221/jima.60.218

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  • An Efficient Bayesian Estimation of Ordered Parameters of Two Exponential Distributions Reviewed

    Hideki Nagatsuka, Toshinari Kamakura, Tsunenori Ishioka

    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES   E92A ( 7 )   1608 - 1614   2009.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG  

    The situations where several population parameters need to be estimated simultaneously arise frequently in wide areas of applications, including reliability modeling. survival analysis and biological study. In this paper, we propose Bayesian methods of estimation of the ordered parameters of the two exponential populations, which incorporate the prior information about the simple order restriction, but sometimes breaks the order restriction. A simulation study shows that the proposed estimators are more efficient (in terms of mean square errors) than the isotonic regression of the maximum likelihood estimators with equal weights. An illustrative example is finally presented.

    DOI: 10.1587/transfun.E92.A.1608

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  • Calculating Method for the System State Distributions of Generalized Multi-State k-out-of-n:F Systems Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Hideki Nagatsuka

    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES   E92A ( 7 )   1593 - 1599   2009.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG  

    In this paper, first, we propose a new recursive algorithm for evaluating generalized multi-state k-out-of-n:F systems. This recursive algorithm can be applied to the systems even though the states of all components; in the system are assumed to be non-i.i.d. random variables. Our algorithm is useful for any multi-state k-out-of-n:F system, including the decreasing, increasing and constant multi-state k-out-of-n:F system. Furthermore, our algorithm can evaluate the state distributions of the other non-monotonic multi-state k-out-of-n:F systems. Next, we calculate the order of computing time and memory capacity of the proposed algorithm. We perform numerical experiments in the non-i.i.d. case. The results show that the proposed algorithm is efficient for evaluating the system state distribution of multi-state k-out-of-n:F system when it is large and k(l) are small.

    DOI: 10.1587/transfun.E92.A.1593

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  • A method to estimate the shape parameter of the gamma distribution free from the location parameter based on the W-transformation statistics Reviewed

    Hideki Nagatsuka, Hisashi Yamamoto, Toshinari Kamakura

    Journal of Reliability Engineering Association of Japan   30 ( 8 )   713 - 726   2008.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Reliability Engineering Association of Japan (REAJ)  

    The gamma distribution, having location (threshold), scale and shape parameters, is used as a model for distributions of life spans, reaction time, and for other types of non-symmetrical data. It has been said that the inference for the three-parameter gamma distribution is difficult because of nonregularity in maximum likelihood estimation although numerous papers have appeared over the years. It is usual to avoid fitting the three-parameter gamma distribution and to fit the two-parameter gamma distribution to data in practice. The fitting, however, becomes poor if the threshold exists. In this article, for avoiding this problem, we propose a new estimator of the shape parameter of the gamma distribution, which does not depend on the location parameter. A simulation study shows that the proposed estimator performs better than the Nagatsuka et al. (2006) estimator when the threshold exists even though that is close to zero. The proposed method is also illustrated by an example of a maximum flood level data.

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  • ガンマ分布の形状母数推定方法に関する研究 Reviewed

    長塚豪己, 山本久志, 鎌倉稔成

    信頼性   30 ( 8 )   713 - 726   2008.11

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    DOI: 10.11221/jima.58.342

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  • Recursive algorithm for the reliability of a connected-(1,2)-or-(2,1)-out-of-(m, n): F lattice system Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Hideki Nagatsuka, Yurie Moriyama

    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH   188 ( 3 )   854 - 864   2008.8

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    The connected-(1, 2)-or-(2, 1)-out-of-(m, n):F lattice system is included by the connected-X-out-of-(m, n):F lattice system defined by Boehme et al. [Boehme, T.K., Kossow, A., Preuss, W., 1992. A generalization of consecutive-k-out-of-n:F system. IEEE Transactions on Reliability 41, 451-457]. This system fails if and only if at least one subset of connected failed components occurs which includes at least a (1, 2)-matrix (that is, a row and two columns) or a (2, 1)-matrix(that is, two rows and a column) of failed components. This system is applied to two-dimensional network problems with adjacent constraints, and various systems, for example, a supervision system, etc.
    In this paper, we propose a new recursive algorithm for evaluating of the reliability of a connected-(1, 2)-or-(2, 1)-out-of-(m,n):F lattice system. We calculate the orders of the computing time and memory size of the our algorithm. We perform a numerical experiment in order to compare our proposed algorithm with the algorithm in the previous studies. A numerical experiment shows that the proposed algorithm is more efficient than the other algorithms for evaluating the reliability of the a connected-(1,2)-or-(2, 1)-out-of-(m,n):F lattice system when n is large. (C) 2007 Published by Elsevier B.V.

    DOI: 10.1016/j.ejor.2007.05.029

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  • A Study of Parameter Estimation of the Shape Parameter of the Gamma Distribution Reviewed

    Hideki Nagatsuka, Hisashi Yamamoto, Toshinari Kamakura

    Journal of Japan Industrial Management Association   58 ( 5 )   583 - 597   2007.12

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    DOI: 10.11221/jima.58.342

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  • Efficient method associated with the system state distribution of multi-state k-out-of-n:G systems Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Hideki Nagatsuka

    Journal of Reliability Engineering Association of Japan   28 ( 5 )   395 - 403   2006.9

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    In this paper, we consider a multi-state k-out-of-n:G system. This system is applicable to the production management problem of multi production lines for a certain product, and the problem of a mining operation for a shovel-truck system. In this paper, we provide a recursive algorithm which evaluates the system state distribution of the multi-state k-out-of-n:G systems. We obtain the order of computing time and memory capacity of our proposed algorithm. Numerical experiments result in the efficiency of our proposed algorithm especially when n is large.

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  • Algorithms for distribution of maximum flow capacity and minimum distance in series-parallel systems with multistate edges Reviewed

    Hisashi Yamamoto, Tomoaki Akiba, Hideki Nagatsuka, Aya Takahashi

    Journal of The Society of Plant Engineers Japan   18 ( 1 )   34 - 41   2006.5

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  • Recursive formulas for the reliability of multi-state consecutive-k-out-of-n:F system Reviewed

    Tomoaki Akiba, Hideki Nagatsuka, Hisashi Yamamoto

    Journal of Japan Industrial Management Association   56 ( 6 )   439 - 446   2006.2

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    In traditional reliability theory, both the system and its components are allowed to take only two possible states: working or failed. In a multi-state system, both the system and the components are allowed to be in M+1 states: 0, 1, 2,…, M, where M is a positive integer which represents a system or unit in perfect functioning state, while zero is complete failure state. A multi-state system reliability model provides more flexibility for the modeling of equipment conditions. Huang et al. (2003) proposed more general definitions of the multi-state consecutive-k-out-of-n:F and G systems and then provide an exact algorithm for evaluating the system state distribution of decreasing multi-state consecutive-k-out-of-n:F systems. Another algorithm is provided to bound the system state distribution of increasing multi-state consecutive-k-out-of-n:F and G systems. The multi-state consecutive-k-out-of-n:F system is applicable to, for example, quality control problems. In this paper, we provide two theorems and a recursive algorithm which evaluate the system state distribution of a multi-state consecutive-k-out-of-n:F system using the theorems. These recursive formulas are useful for any multi-state consecutive-k-out-of-n:F system, including the decreasing multi-state F system, the increasing multi-state F system and other non-monotonic F systems. We calculate the order of computing time and memory capacity of the proposed algorithm and show that, in cases when the number of components n is large, the proposed algorithm is more efficient than other algorithms. A numerical experiment shows that when n is large, the proposed method is efficient for evaluating the system state distribution of multi-state consecutive-k-out-of-n:F systems.

    DOI: 10.11221/jima.56.439

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  • Parameter Estimation of the Shape Parameter of the Castillo–Hadi Model Invited International journal

    Hideki Nagatsuka, Toshinari Kamakura

    Communications in Statistics - Theory and Methods (Taylor & Francis)   33 ( 1 )   15 - 27   2005.1

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    In Castillo and Hadi [Castillo, E., Hadi, A. S. (1995). Modeling lifetime data with application to fatigue models. J. Amer. Statist. Assoc. 90:1041–1054], a new model for the analysis of lifetime data in the presence of a covariate is presented. The model is derived based on physical and statistical considerations. In this article, we focus on estimation of the power parameter of this model, and propose the new methods for estimation based on the location-scale-free transformation.

    DOI: 10.1081/sta-120026574

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  • A new method of inference for Weibull shape parameter Reviewed

    Hideki Nagatsuka, Toshinari Kamakura

    Journal of Reliability Engineering Association of Japan   25 ( 6 )   583 - 597   2003.9

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    In this article we present a new method of inference for the three-parameter Weibull distribution. The method enables us to estimate only the shape parameter independent of the location and scale parameters. The methodology is helpful because the difficulty of estimation of the Weibull parameters is dependent on the existence of the location parameter. A simulation study shows that in the case that the location parameter γ is equal or close to zero, the estimator proposed by us is better than MLE for two-parameter Weibull distribution. The simplicity of the method is shown by an example.

    DOI: 10.11348/reajshinrai.25.6_583

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Books

  • New Handbook of Reliability

    Hideki Nagatsuka( Role: Joint authorWriting of Part IV Mathematical Principle and Theory, Chapter 2 Reliability and Statistical Method, Section 2.2 Mathematical Theory of Statistical Inference for Lifetime Distribution (pp.438-443) and Appendix 6-1, Periodical Publications (pp.864-865), and)

    Union of Japanese Scientists and Engineers (JUSE) publisher  2014.7 

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  • 電子情報通信学会 知識ベース

    電子情報通信学会  2010 

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  • Knowledge base, The Institute of Electronics, Information and Communication Engineers (In Japanese)

    Hideki Nagatsuka( Role: ContributorGroup 1, Part 12, Chapter 1: Basic Probability and Statistics, and Reliability Data Analysis)

    The Institute of Electronics, Information and Communication Engineers  2010 

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  • 生産マネジメント概論 戦略編

    大場允晶, 藤川裕晃編

    文眞堂 ISBN:978-4-8309-4672-1  2010 

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  • Introduction to Production Management -Strategy Edition- (M. Oba and H. Fujikawa, eds.) (In Japanese)

    Hideki Nagatsuka( Role: ContributorChapter 8: Quality Control, pp.164-191)

    Bunshindo Publishing Corporation  2010  ( ISBN:9784830946721

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MISC

  • On parameter estimation for generalized inverse Gaussian distribution Invited

    Hideki Nagatsuka, Shunsuke Kaneko

    Proceedings of the 7th International Conference on Econometrics and Statistics (EcoSta 2024)   12 - 12   2024.7

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  • The Study of Continuous Empirical Characteristic Function Estimation of Stable Distribution Parameters Reviewed

    Takuya Matsumoto, Hideki Nagatsuka

    The Proceedings of ANQ Congress 2023 (ANQ2023)   2023.10

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  • New Proposals of Estimation Method Based on the Empirical Moment Generating Function in the Tweedie Distribution Reviewed

    Kohei Fujii, Hideki Nagatsuka

    The Proceedings of ANQ Congress 2023 (ANQ2023)   2023.10

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  • A New Method of Parameter Estimation for the COM-Poisson Distribution and its Existence and Uniqueness Reviewed

    Kenji Doi, Hideki Nagatsuka

    The Proceedings of ANQ Congress 2023 (ANQ2023)   2023.10

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  • An Efficient Conditional Maximum Likelihood Method of Parameter Estimation for the COM-Poisson Distribution Invited Reviewed

    Hideki Nagatsuka, Kenji Doi

    The Proceedings of the12th International Conference on Mathematical Methods in Reliability (MMR2023)   2023

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  • Successful Methods of Parameter and Interval Estimation for the Tweedie Exponential Dispersion Models Invited Reviewed

    Hideki Nagatsuka, Kouhei Fujii

    The Proceedings of the12th International Conference on Mathematical Methods in Reliability (MMR2023)   2023

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  • A study of semi-sequential Bayesian optimal design of accelerated life tests Reviewed

    Motoji Kawai, Hideki Nagatsuka

    The Proceedings of the 19th ANQ Congress 2021 (ANQ2021)   2021.10

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  • New Method of Point and Interval Estimation for the Tweedie Exponential Dispersion Process with All Power Parameter Reviewed

    Renta Yamamoto, Hideki Nagatsuka

    The Proceedings of the 19th ANQ Congress 2021 (ANQ2021)   2021.10

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  • New Anomaly Detection Method based on Multivariate Threshold Exceedance Models Reviewed

    Ryo Nezaki, Hideki Nagatsuka

    The Proceedings of the 19th ANQ Congress 2021 (ANQ2021)   2021.10

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  • New Proposals of Empirical Methods of Estimation for the Shape Function in Degradation Processes Reviewed

    Takuya Fushihara, Hideki Nagatsuka

    The Proceedings of the 19th ANQ Congress 2021 (ANQ2021)   2021.10

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  • A Reviewed International journal

    650 - 657   2020.10

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  • P Reviewed International journal

    916 - 921   2020.10

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  • S Reviewed International journal

    2020.10

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  • A Reviewed International journal

    584 - 589   2020.10

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  • On likelihood-based interval estimation methods for the generalized Pareto distribution (Invited Talk) Invited

    Hideki Nagatsuka and N. Balakrishnan

    The Proceedings of Symposium in Reliability Theory and Industrial Statistics   2019.12

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  • A New Stochastic Degradation Model Based on the Birnbaum-Saunders Distribution Reviewed

    Kenji Fujita, Hideki Nagatsuka

    The Proceedings of the Asian Network for Quality (ANQ2019)   CDROM   2019.10

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  • On inference for the generalized Pareto distribution (Invited Talk) Invited

    Hideki Nagatsuka

    The 28th South Taiwan Statistics Conference   2019.6

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  • On A Robust Statistic for Scale and its Application in Engineering (Invited Talk) Invited

    Hideki Nagatsuka

    The Proceedings of the Fifth International Conference on the Interface between Statistics and Engineering   103 - 103   2019.6

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  • On a general framework of the inference for the generalized Pareto distribution (Invited Talk) Invited

    Hideki Nagatsuka, N. Balakrishnan

    The 11th International Conference on Mathematical Methods in Reliability   44 - 44   2019.6

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  • Point and interval estimation for the generalized Pareto distribution (Invited Talk) Invited

    Hideki Nagatsuka, N. Balakrishnan

    International Workshop on Survival and Reliability Analysis   2019.5

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  • A Likelihood-Based Inference for the Generalized Pareto Distribution (Invited Talk) Invited

    Hideki Nagatsuka, N. Balakrishnan

    2018 Workshop on Advances in Reliability   2018.12

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  • QC Test Examination Course The 11th Correlation Analysis and Standardization

    Hideki Nagatsuka

    QC Circle   2018.11

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  • A Study of a Degradation Model Using the Generalized Inverse Gaussian Distribution and Its Parameter Estimation

    Leona Tamaru, Hideki Nagatsuka

    Proceedings of XVI ANQ Congress 2018   202 - 202   2018.9

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  • A Study of Stochastic Degradation Models Based on Additive Processes

    Kenji Fujita, Hideki Nagatsuka

    Proceedings of XVI ANQ Congress 2018   196 - 196   2018.9

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  • QC Test Examination Course No. 9 New QC Seven Tools, Foundation of Statistical Method

    Hideki Nagatsuka

    QC Circle   2018.9

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  • A Study of Degradation Models Based on Additive processes

    Kenji Fujita, Hideki Nagatsuka

    Proceedings of International Symposium on Paradigm Shift of the Manufacturing Business in IoT / Industry 4.0 Environment in East Asia   162 - 164   2018.1

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  • Likelihood-based inference for the generalized Pareto distribution and its applications (Invited Talk) Invited Reviewed

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of The 10th International Conference on Mathematical Methods in Reliability   78 - 79   2017.7

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  • On a Degradation Model based on the Generalized Inverse Gaussian Processes Reviewed

    Leona Tamaru, Hideki Nagatsuka

    Proceedings of 2017 Asian Conference of Management Science & Applications   2017.2

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  • A Stochastic Model for Predicting Failures in Gas Systems

    Ryoma Sumita, Hideki Nagatsuka

    Proceedings of International Symposium on Paradigm Shift of the Manufacturing Business in IoT / Industry 4.0 Environment in East Asia   2017.1

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  • Inference for Extreme Value Models and Its Applications in Reliability (Invited Talk) Invited

    Hideki Nagatsuka

    Proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering   42 - 42   2016.12

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  • Stochastic models for assessing and predicting life characteristics of products based on IoT data

    Hideki Nagatsuka, Leona Tamaru

    Program of Asia Pacific Conference on Information Management 2016   72 - 72   2016.10

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  • Parameter estimation for the Generalized Pareto Distribution and its applications Invited

    Hideki Nagatsuka

    Proceedings of Ordered Data and their Applications in Reliability and Survival Analysis: An International Conference in Honour of N. Balakrishnan for his 60th Birthday   30 - 30   2016.8

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  • 102nd Quality Control Symposium Reportage Invited

    NAGATSUKA Hideki

    Quality Management   2016.7

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  • Insignificant a.e.

    NAGATSUKA Hideki

    The journal of Reliability Engineering Association of Japan   37 ( 4 )   153 - 153   2015.7

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  • A likelihood-based inference for a family of nonregular distributions (Invited talk) Invited

    Hideki Nagatsuka

    Proceedings of Pacific Rim Statistics Conference on Production Engineering   6 - 6   2014.12

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  • ロバストな側面を持つ統計量を用いた外れ値の検定に関する一考察

    横山真弘, 長塚豪己

    第27回秋季信頼性シンポジウム発表報文集   27   123 - 126   2014.11

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  • あるロバスト統計量とその外れ値の検定への応用に関する一考察

    横山真弘, 長塚豪己

    2014年度統計関連学会連合大会講演報告集   216   2014.9

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  • 一般化パレート分布の推定

    長塚豪己

    第13回西東京統計研究会予稿集   63 - 63   2014.3

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  • 閾値を有する非正則分布の統計的推測理論に関する研究 Invited

    長塚 豪己

    品質   43 ( 1 )   61 - 63   2013.1

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  • The condition for optimal arrangements in a multi-state consecutive-k-out-of-n:F system Invited Reviewed

    Wataru Taniguchi, Hisashi Yamamoto, Tomoaki Akiba

    Proceedings of 5th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   486 - 493   2012.11

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  • A study of estimation for the parameters of the lifetime distributions with unknown location parameter based on type-II censored data using order statistics Reviewed

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of 5th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   343 - 350   2012.11

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  • On estimation for the parameters of the Generalized Pareto Distribution Reviewed

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of 5th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   351 - 358   2012.11

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  • 多状態連続k-out-of-n:Fシステムにおける最適配置に関する研究 ~ 故障条件が単調な場合 ~

    谷口航, 山本久志, 長塚豪己, 秋葉知昭

    信学技報   2012.6

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  • A study of parameter estimation for the three-parameter Weibull distribution based on type-II censored data using order statistics

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of the 10th International Conference on Ordered Statistical Data and Its Applications OSDA 2012   43 - 43   2012.5

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  • [D.Han, F. Tsung, A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes, The Annals of Statistics, 32, 316-339 (2004)] の文献紹介 Invited

    長塚 豪己

    品質   42 ( 1 )   60 - 60   2012.1

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  • Parameter and Quantile Estimation for Lifetime Distributions with Unknown Location Parameter (Invited talk) Invited

    Hideki Nagatsuka, Balakrishnan

    Proceedings of International Conference on Advances in Probability and Statistics - Theory and Applications: A Celebration of N. Balakrishnan's 30 years of Contributions to Statistics   40 - 40   2011.12

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  • A Trend of Optimal Arrangements in a Multi-State Consecutive-k-out-of-n : F system

    AKIBA Tomoaki, YAMAMOTO Hisashi, NAGATSUKA Hideki

    111 ( 354 )   21 - 26   2011.12

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  • 第2期信頼性・安全性計画研究会報告 第3報 -災害に負けない未然防止のための課題について-

    伊藤誠, 鈴木和幸, 於保鴻一, 金子龍三, 中條武志ほか

    日本品質管理学会第41回年次大会研究発表要旨集   191 - 194   2011.10

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  • Exact distributions of the median absolute deviation and it's application to test of the equality of two variances

    Hiroshi Kawakami, Hideki Nagatsuka, Toshinari Kama

    111 ( 83 )   1 - 6   2011.6

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  • パラメーターの順序関係を考慮した検定及び多変量管理図手法における一考察

    藤間大典, 長塚豪己, 山本久志

    電子情報通信学会技術研究報告   111 ( 83 )   7 - 12   2011.6

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  • 攪乱母数の順序関係を考慮した検定及び多変量管理図手法に関する一考察

    藤間大典, 長塚豪己, 山本久志

    日本品質管理学会第95回研究発表会研究発表要旨集   125 - 128   2011.5

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  • Exact distributions of the median absolute deviation and its related test statistics for detecting outlier

    Hiroshi Kawakami, Hideki Nagatsuka, Toshinari Kama

    121 - 124   2011.5

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  • Exact distributions of some robust statistics and these applications to tests for detecting outlier

    川上博史, 長塚豪己, 山本久志

    9 - 10   2011.2

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  • Multivariate Statistical Process Control Using LASSO(International Literature Digest)

    NAGATSUKA Hideki

    Journal of the Japanese Society for Quality Control   41 ( 1 )   45 - 45   2011.1

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  • [C. Zou and P. Qiu, Multivariate Statistical Process Control Using LASSO, Journal of the American Statistical Association, 104, 1586-1596 (2009)] の文献紹介 Invited

    長塚 豪己

    品質   41 ( 1 )   45 - 45   2011.1

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  • Analysis for a Trend on the Optimal Arrangements in a Multi-State Consecutive-k-out-of-n:F System Reviewed

    Tomoaki Akiba, Hisshi Yamamoto, Tomonori Komuro, Hideki Nagatsuka

    2011 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE)   I   223 - 228   2011

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    In traditional reliability theory, both the system and its components are allowed to take two possible states: either working or failed. In the binary context, a system with n components in sequence is called a consecutive-k-out-of-n:F system if the system fails whenever at least k consecutive components in the system fail. Many studies have appeared over the years dealing with the reliability evaluation of binary consecutive-k-out-of-n:F system. For consecutive-k-out-of-n: F system, one of the most important problem in this system is the optimal arrangement problem wherein the solution is obtained by the arrangement of components with maximum system reliability. On the other hand, in the multi-state consecutive-k-out-of-n:F system, both the components and the system are allowed to be in M+1 possible state. One of the important problem in the multi-state consecutive-k-out-of-n:F system is the optimal arrangement problem wherein the solution is obtained by the arrangement of components with maximum expectation of system states. (Note: k means the number of consecutive components, whose failed components lead to the system failure. Though the number is not a scalar and should be expressed as a vector (k(1), k(2), ... , k(M)).) In general, the optimal arrangements depend on the values of component state probabilities. It is known, however, that for some case, optimal arrangements do not depend on the values of component state probabilities but on the ranks of component state probabilities. In this study, we consider optimal component arrangement for a multi-state consecutive-k-out-of-n:F system which maximize the expectation of the system state when these components are arranged to the positions in the system. First, we investigated characteristics of optimal arrangements in multi-state consecutive-k-out-of-n:F systems when M=3 and maximum k(l) (l=1,2,3) is 2, by using analytical approach. We proposed characteristics of optimal arrangement in the systems when n=3, 4 and 5. From these results, we obtained characteristics and trends of conditional optimal arrangements with M=3 and maximum k(l)s are 2. Next, we investigated characteristics of optimal arrangements in multi-state consecutive-k-out-of-n:F systems by using heuristic approach. From these results, we obtained a trend of optimal arrangements with other parameters.

    DOI: 10.1109/ICQR2MSE.2011.5976600

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  • A fast algorithm for the partial group of Pareto-solutions at a multi-objective network Reviewed

    Tomoaki Akiba, Danqin Liu, Hisashi Yamamoto, Hidek

    Proceedings of 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   1 - 8   2010.12

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  • On estimation for the three-parameter Weibull distribution using statistics invariant to unknown location Reviewed

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   516 - 523   2010.12

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  • A study ofparameter estimation of distributions based on multivariate data under order restrictions of the parameters Reviewed

    Megumi Uchino, Hideki Nagatsuka, Hisashi Yamamo

    Proceedings of 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   708 - 715   2010.12

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  • A trend on the optimal arrangements in a multi-state consecutive-k-out-of-n:F system Reviewed

    Tomonori Komuro, Hisashi Yamamoto, Tomoaki Akiba a

    Proceedings of 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling   357 - 364   2010.12

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  • 多変量解析におけるパラメータ間の順序関係を考慮した推定問題に関する一考察

    内野慈, 長塚豪己, 山本久志

    日本信頼性学会第23回秋季信頼性シンポジウム発表報文集   79 - 82   2010.11

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  • 第2期信頼性安全性計画研究会報告第2報―グローバル化のもとでの信頼性・安全性つくり込みのための課題―

    伊藤誠, 鈴木和幸, 中條武志, 永原賢造, 横山真弘ほか

    第40回年次大会研究発表会研究発表要旨集   177 - 180   2010.10

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  • A study of parameter estimation for distributions with unknown origin based on transformed data free from location parameter,

    Hideki Nagatsuka, N. Balakrishnan, Toshinari Ka

    229 - 229   2010.9

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  • 多状態連続k-out-of-n:Fシステムの最適配置に関する研究

    小室智則, 山本久志, 秋葉知明, 長塚豪己

    電子情報通信学会技術研究報告   110 ( 159 )   43 - 48   2010.7

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  • Consistent Method of Estimation for Distributions with Unknown Origin (Invited talk) Invited

    Hideki Nagatsuka, N. Balakrishnan

    Proceedings of 61st Annual Conference of the New Z・・・   39 - 40   2010.6

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  • 第2期信頼性安全性計画研究会報告第1報―次世代信頼性・安全性情報システムによる未然防止への取り組み―

    伊藤誠, 鈴木和幸, 椿広計, 田中健次, 横山真弘ほか

    日本品質管理学会第92回研究発表会研究発表要旨集   92nd   147 - 150   2010.5

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  • 多変量データにおけるパラメータ間の順序制約を考慮した場合のパラメータ推定方法に関する一考察

    内野慈, 長塚豪己, 山本久志

    日本品質管理学会第92回研究発表会研究発表要旨集   227 - 230   2010.5

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  • 複数の結果を有する試行列における連の確率分布に関する研究

    浜田康平, 山本久志, 長塚豪己

    日本経営工学会西関東支部第十回学生論文発表会予稿集   73 - 74   2010.2

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  • An Accelerating Algorithm for the System State Distribution of Multi-State k-System Reviewed

    Tomoaki Akiba, Takahiro Yamaguchi, Hisashi Yamamot

    The proceeding of Asian Pacific Industrial Engineering and Management Systems Conference 2009   2035 - 2042   2009.12

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  • Efficient algorithm for distributions of numbers of runs in a sequence of s-kinds outcomes Reviewed

    Kohei Hamada, Hisashi Yamamoto, Hideki Nagatsuka

    The proceeding of Asian Pacific Industrial Engineering and Management Systems Conference 2009   646 - 650   2009.12

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  • 多状態consecutive-k-out-of-n:Fシステムの最適配置算出アルゴリズム

    小室智則, 山口孝浩, 山本久志, 秋葉知昭, 長塚豪己

    日本経営工学会平成21年度秋期大会予稿集   142 - 143   2009.11

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  • L^p Regularized Estimation : Mainly on Lasso Invited

    NAGATSUKA Hideki

    The Journal of reliability engineering association of Japan   31 ( 8 )   580 - 587   2009.11

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    DOI: 10.11348/reajshinrai.31.8_580

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  • 定数打切りデータ におけるワイブル分布の推定法に関する研究

    長塚豪己, 鎌倉稔成

    日本信頼性学会第22回秋季信頼性シンポジウム発表報文集   22nd   53 - 56   2009.11

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  • 試行回数が大きい場合の連の分布の効率的な算出方法に関する一考察

    浜田康平, 山本久志, 長塚豪己

    日本経営工学会平成21年度秋期大会予稿集   101 - 102   2009.11

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  • Type 2 censored data における閾値を持つ分布の推定法に関する一考察

    長塚豪己, 鎌倉稔成

    2009年度統計関連学会連合大会講演報告集   229   2009.9

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  • Efficient algorithm for optimal arrangement problems of multi-state consecutive-k-out-of-n:F system

    Tomonori Komuro, Takahiro Yamaguchi, Hisashi Yamam

    Proceedings of 20th international conference on pr・・・   CDROM   2009.8

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  • An efficient algorithm for the pareto-solution of a multi-objective network with shortest path problem and comfortable cost

    Tomoaki Akiba, Hideki Nagatsuka, Tomonori Egashira

    Proceedings of 20th international conference on pr・・・   CDROM   2009.8

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  • 単一打ち切りがある場合の3パラメータワイブル分布の推定に関する一考察

    長塚豪己, 鎌倉稔成, 山本久志, 石岡恒憲

    電子情報通信学会技術研究報告   109 ( 161 )   47 - 51   2009.7

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  • 3パラメータワイブル分布のパラメータ推定における非正則性問題の回避に関する一考察

    長塚豪己, 山本久志, 鎌倉稔成, N. Balakrishnan

    第39回信頼性・保全性シンポジウム発表報文集   39th   341 - 346   2009.7

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  • 多状態consecutive-k-out-of-n:Fシステムの効率的な最適配置算出アルゴリズムの提案

    小室智則, 山口孝浩, 山本久志, 秋葉知昭, 長塚豪己

    電子情報通信学会技術研究報告   109 ( 67 )   37 - 42   2009.5

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  • 快適性を考慮した経路探索アルゴリズムに関する研究

    岩上小百合, 江頭知宜, 山本久志, 長塚豪己, 秋葉知昭

    日本経営工学会西関東支部第十回学生論文発表会予稿集   60 - 61   2009.2

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  • 縮約を用いたk-system の効率的な状態確率分布の算出方法

    山口孝浩

    日本経営工学会平成21年度秋季大会   2009

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  • A simple and accurate estimation of ordered means of exponential distributions using Bayesian approach

    Hideki Nagatsuka, Toshinari Kamakura, Tsunenori Is・

    Proceedings of joint meeting 4th world conference ・・・   1212 - 1220   2008.12

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  • 3パラメータガンマ分布における一致推定量の構成

    長塚豪己, 山本久志, 鎌倉稔成

    電子情報通信学会技術研究報告   108 ( 349 )   7 - 10   2008.12

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  • 経営工学100年周期記念行事 企画・行事委員会セッション「実践教育プログラムの事例発表」

    玉木, 竹安, 渡邉, 筧, 稲田, 青木, 長塚, 山本, 山田, 白山, 豊田

    日本経営工学会平成20年度秋期大会予稿集   140 - 145   2008.10

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  • A study of estimation for the three-parameter gamma distribution using a least squares method

    Hideki Nagatsuka, Hisashi Yamamoto, Toshinari Kama

    Proceedings of 2008 Asian International Workshop o・・・   437 - 444   2008.10

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  • 3パラメータワイブル分布の推定問題における推定値の存在性と一意性について

    長塚豪己, 鎌倉稔成, 山本久志

    日本信頼性学会第21回秋季信頼性シンポジウム発表報文集   2008 ( 21 )   5 - 8   2008.10

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  • s種類の結果を有するオーダーkの連の分布に関する研究

    浜田康平, 山本久志, 長塚豪己

    日本経営工学会平成20年度秋期大会予稿集   300 - 301   2008.10

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  • 3パラメータワイブル分布における一致推定量の構成

    長塚豪己, 山本久志, 鎌倉稔成

    日本経営工学会平成20年度秋期大会予稿集   2008   122 - 123   2008.10

  • Evaluating Algorithms for the system state distribution of multi-state k-out-of-n:G system

    Tomoaki Akiba, Hisashi Yamamoto, Takahiro Yamaguch

    Proceedings of 2008 Asian International Workshop o・・・   48 - 55   2008.10

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  • 3パラメータワイブル分布, 3パラメータガンマ分布のパラメータ推定法

    長塚豪己, 鎌倉稔成, 山本久志

    2008年度統計関連学会連合大会講演報告集   225   2008.9

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  • 順序制約に緩みを与えた2母集団のパラメータ推定に関する一考察

    長塚豪己, 鎌倉稔成

    第38回信頼性・保全性シンポジウム発表報文集   38th   187 - 192   2008.7

  • ワイブル分布の母数推定に関する一考察

    長塚豪己, 鎌倉稔成

    電子情報通信学会技術研究報告   108 ( 95 )   9 - 14   2008.6

  • 状態数削減による多状態 k-out-of-n:F システムの状態確率分布算出方法

    山口孝浩, 山本久志, 秋葉知昭, 長塚豪己

    日本経営工学会平成20年度春期大会予稿集   66 - 67   2008.5

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  • 3母数ワイブル分布の母数推定方法に関する研究

    長塚豪己, 鎌倉稔成

    日本信頼性学会第16回春季信頼性シンポジウム発表報文集   16th   75 - 78   2008.5

  • A study of estimation for the three-parameterweibull distribution based on doubly type-II censored data using a least squares method

    Hideki Nagatsuka

    Proceedings - The 2nd IEEE International Conference on Secure System Integration and Reliability Improvement, SSIRI 2008   158 - 165   2008

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    A least squares procedure for parameter estimation of the three-parameter Weibull distribution based on the doubly type-II censored samples are proposed. The estimate of the shape parameter can be optained by minimizing a function of only one parameter and the estimates of the location and scale parameters can be obtained by two closed-formed formulas, by using the proposed method. The proposed method has advantages compared to the conventional estimators: (1) the bias of the estimators can be smaller for small samples, (2) the estimates can be obtained with higher probability, (3) the estimates are much easier to obtain computationally. © 2008 IEEE.

    DOI: 10.1109/SSIRI.2008.45

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  • 2-1 ガンマ分布における形状母数の位置母数構造に依存しない推定方法(セッション2理論・一般,日本信頼性学会第15回春季信頼性シンポジウム報告)

    長塚 豪己, 山本 久志, 鎌倉 稔成

    日本信頼性学会誌 : 信頼性   29 ( 4 )   247 - 248   2007.7

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  • An efficient algorithm for Pareto-solutions of a network with the all-terminal reliability and construction cost

    Tomoaki Akiba, Yukihiro Asukagawa, Hisashi Yamamot

    The second International Conference on Mathematica・・・   2007.7

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  • ガンマ分布における形状母数の位置母数構造に依存しない推定方法

    長塚豪己, 山本久志, 鎌倉稔成

    日本信頼性学会第15回春季信頼性シンポジウム発表報文集   25 - 28   2007.5

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  • 位置母数構造に依存しない寿命モデルの推定法

    長塚豪己

    電子情報通信学会技術研究報告   106 ( 430 )   17 - 20   2006.12

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  • 「霧」「もや」の発生要因に関する研究

    近藤亜弥, 長塚豪己, 山本久志, 大河内博

    日本経営工学会平成18年度秋期研究大会予稿集   174 - 175   2006.11

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  • Efficient algorithm for the system state distribution of multi-state k-out-of-n system

    Tomoaki Akiba, Hisashi Yamamoto, Hideki Nagatsuka

    Proceedings of the 2nd Asian International Worksh・・・   2006.8

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  • Parameter estimation of the shape parameter of the gamma distribution free from location and scale information

    Hideki Nagatsuka, Hisashi Yamamoto, Toshinari Kama

    Proceedings of the 2nd Asian International Worksho・・・   626 - 633   2006.8

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  • 生体リズムの推定と調整支援システムの構築

    長塚豪己, 西内信行, 瀬尾明彦, 松井岳巳

    日本経営工学会平成18年度春期研究大会予稿集   172 - 173   2006.5

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  • 3-2 多状態を有するエッジから構成された直並列システムにおける最大流量・最短距離分布算出方法(理論, 数学的技法, 統計的解析, 日本信頼性学会 第18回秋季信頼性シンポジウム報告)

    秋葉 知昭, 山本 久志, 長塚 豪己, 高橋 礼

    日本信頼性学会誌 : 信頼性   28 ( 1 )   46 - 46   2006.1

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  • 多状態を有するエッジから構成された直並列システムにおける最大流量・最短距離分布算出方法

    秋葉知昭, 山本久志, 長塚豪己, 高橋礼

    日本信頼性学会第18回秋季信頼性シンポジウム発表報文集   2005 ( 18 )   41 - 44   2005.11

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    本研究では2つ以上の状態を確率的に取るエッジから構成される直並列システムについて,各エッジの状態に対応した容量(距離)が与えられている時に,システムの最大流量(最短距離)の分布の算出問題を考察する,分布の算出は,各エッジの状態を全て列挙し,そのときの最大流量(最短距離)と状態確率を算出して求められるが,エッジ総数と各エッジの状態数が増えるとその算出時間は指数的に増大する.そのため本研究では,最大流量(最短距離)の分布算出のための効率的な算出方法の提案を行う.そして計算量と記憶容量のオーダー及び計算機による実験で評価を行う.この結果により本研究で提案する算出方法が有効であることを示す.

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  • Efficient Algorithm for the Reliability of Multi-State Consecutive-k-out-of-n: F System

    Hisashi Yamamoto, Tomoaki Akiba, Ming Zuo, Hideki

    Proceedings of the International Conference on Qua・・・   CD-ROM   2005.9

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  • [3-3] W変換の一般化とワイブル分布の形状母数推定に対するその利用(理論・一般, 第13回春季信頼性シンポジウム報告)

    長塚 豪己, 鎌倉 稔成

    日本信頼性学会誌 : 信頼性   27 ( 4 )   286 - 286   2005.7

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  • W変換の一般化とワイブル分布の形状母数推定に対するその利用

    長塚豪己, 鎌倉稔成

    日本信頼性学会第13回春季信頼性シンポジウム発表報文集   81 - 82   2005.5

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  • Consideration on population parameter estimation using W transformation of a 3-population parameter Weibull distribution

    長塚豪己, 鎌倉稔成

    日本信頼性学会誌   26 ( 5 )   2004.5

  • 3母数ワイブル分布の母数推定に関する研究

    長塚豪己, 鎌倉稔成

    第3回西東京統計研究会予稿集   23 - 26   2004.3

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  • Location-scale parameter model の shape parameter の推定に関する一考察

    長塚豪己, 鎌倉稔成

    第69回日本統計学会講演報告集   71   292 - 293   2003.9

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  • Parameter estimation of shape parameter for Weibull distribution free from location information

    Hideki Nagatsuka, Toshinari Kamakura

    Bulletin of the International Statistical Institut・・・   125 - 126   2003.8

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  • ワイブル分布の形状母数推定に対してのW変換の利用

    長塚豪己, 鎌倉稔成

    日本信頼性学会第11回研究発表会発表報文集   25 ( 5 )   313 - 314   2003.5

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    DOI: 10.11348/reajshinrai.25.3_313

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  • 順序制約下における2つの指数分布のパラメータ推定

    長塚豪己, 鎌倉稔成

    第2回西東京統計研究会予稿集   31 - 32   2003.3

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  • Utilization of W transform for shape parameter estimation of Weibul-distribution.

    長塚豪己, 鎌倉稔成

    日本信頼性学会誌   25 ( 3 )   2003

  • The comparing Bayesian estimators with ML estimators under order restrictions

    Hideki Nagatsuka, Toshinari Kamakura

    Proceedings of the Confrence CompStat 2002 Short C・・・   2002.8

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  • Castillo & Hadi の疲労モデルにおける形状パラメータの推定

    長塚豪己, 鎌倉稔成

    応用統計学会第24回シンポジウム予稿集   45 - 49   2002.5

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  • Consideration on the shape parameter estimation of the Weibul-distribution.

    長塚豪己, 鎌倉稔成

    日本信頼性学会誌   24 ( 4 )   345 - 346   2002.5

  • Bayesian Inference under Order Restrictions for Lifetime Distributions

    Hideki Nagatsuka, Toshinari Kamakura

    Bulletin of the International Statistical Institut・・・   497 - 498   2001.8

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  • 3.2 順序制約のベイズモデルによる実現と信頼性への応用(第13回信頼性シンポジウム報告)

    長塚 豪己, 鎌倉 稔成

    日本信頼性学会誌 : 信頼性   23 ( 1 )   100 - 101   2001.1

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  • 順序制約のベイズモデルによる実現と信頼性への応用

    長塚豪己, 鎌倉稔成

    日本信頼性学会第13回信頼性シンポジウム発表報文集   ( 13 )   23 - 26   2000.11

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    DOI: 10.11348/reajshinrai.22.8_23

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  • [3-3]ベイズモデルによる制約条件付き寿命分布のパラメータ推定(日本信頼性学会 第8回研究発表会報告)

    長塚 豪己, 鎌倉 稔成

    日本信頼性学会誌 : 信頼性   22 ( 5 )   423 - 424   2000.7

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  • 制約条件付き寿命分布のパラメータ推定におけるベイズ法の適用

    長塚豪己, 鎌倉稔成

    第68回日本統計学会講演報告集   68   156 - 157   2000.7

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  • ベイズモデルによる制約条件付き寿命分布のパラメータ推定

    長塚豪己, 鎌倉稔成

    日本信頼性学会第8回研究発表会発表報文集   22 ( 4 )   351 - 352   2000.5

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    DOI: 10.11348/reajshinrai.22.4_351

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  • 疲労モデルとそのパラメータ推定の改良

    長塚豪己, 鎌倉稔成

    日本信頼性学会第12回信頼性シンポジウム発表報文集   21 ( 8 )   59 - 62   1999.11

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  • 疲労モデルによる寿命データのモデル化とパラメータ推定

    長塚豪己, 鎌倉稔成

    第67回日本統計学会講演報告集   67th   199 - 200   1999.7

  • Fatigue model による寿命分布のパラメータ推定

    長塚豪己, 鎌倉稔成

    日本信頼性学会第7回研究発表会発表報文集   21 ( 4 )   221 - 222   1999.5

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  • Fiting of logistic curves using visual information.

    長塚豪己, 鎌倉稔成

    日本信頼性学会誌   20 ( 4 )   252 - 253   1998.5

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Presentations

  • Interval estimation and hypothesis testing for the generalized Pareto distribution under non-regularity conditions Invited International coauthorship International conference

    Hideki Nagatsuka

    5th International Conference on Econometrics and Statistics (EcoSta 2022)  ( Ryukoku Univeristy (Hybrid) )   2022.6  CMStatistics and CFEnetwork

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    Event date: 2022.6    

    Language:English   Presentation type:Oral presentation (invited, special)   Country:Japan  

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  • 一般化パレート分布の統計的推測 Invited

    長塚豪己

    2021年度 統計関連学会連合大会  2021.9 

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    Event date: 2021.9    

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • Successful Likelihood-Based Inference for the Generalized Pareto Distribution Invited

    Hideki Nagatsuka

    2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA 2021), Invite Speech  2021.4 

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    Event date: 2021.4    

    Language:English   Presentation type:Oral presentation (keynote)  

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  • On a robust statistic for scale and its application to confidence intervals for the location-scale family Invited International conference

    Hideki Nagatsuka

    National Cheng Kung University, an invited talk  2018.12 

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  • A likelihood-based inference for a family of nonregular distributions Invited International conference

    Hideki Nagatsuka

    National Central University, an invited talk  2018.3 

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  • On robust statistical inference and its applications Invited International conference

    Hideki Nagatsuka

    Tamkang University, a lecture in master course of graduate school  2018.3 

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  • A likelihood-based inference for a family of nonregular distributions Invited International conference

    Hideki Nagatsuka

    Academia Sinica, an ivited talk  2018.3 

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  • 極値統計学における非正則性の問題と信頼性工学への応用 Invited

    長塚 豪己

    統計数理研究所 共同研究集会極値理論の工学への応用 招待講演  2016.10 

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    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • Methods of parameter estimation for distributions with unknown origin Invited International conference

    Hideki Nagatsuka

    McMaster University a lecture in master course of graduate school (Introduction to Lifetime Data Analysis)  2010.9 

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  • 3パラメータワイブル分布, 3パラメータガンマ分布における一致推定量の構成

    IEEE Reliability Society Japan Chapter Awards 受賞記念講演会  2009 

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Awards

  • 2023年度 BC班別研究会指導優秀賞

    2024.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • Academic Encouragement Award

    2024.3   Chuo University  

    Hideki Nagatsuka

  • Best Paper Award

    2023.10   21st ANQ Congress 2023 (ANQ2023)   New Proposals of Estimation Method Based on the Empirical Moment Generating Function in the Tweedie Distribution

    Kohei Fujii, Hideki Nagatsuka

  • 2022年度 BC班別研究会指導優秀賞

    2023.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • 第142回 (2022年度第2回) 品質管理セミナー ベーシックコース キャンペーン優秀賞 (やる気のでる講義)

    2023.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • 2021年度 BC班別研究会指導優秀賞

    2022.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • Academic Encouragement Award

    2021.3   Chuo University  

    Hideki Nagatsuka

  • Best Paper Award

    2020.10   18th The Asian Network for Quality (ANQ2020)   A New Stochastic Degradation Model Based on the Family of Powered Inverse Gaussian Distributions

    Takuya Fushihara, Hideki Nagatsuka

  • Academic Encouragement Award

    2020.3   Chuo University  

    Hideki Nagatsuka

  • Best Paper Award

    2019.10   17th The Asian Network for Quality (ANQ2019)   A New Stochastic Degradation Model Based on the Birnbaum-Saunders Distribution

    Kenji Fujita, Hideki Nagatsuka

  • 2018年度 BC班別研究会指導優秀賞

    2019.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • 2017年度 BC班別研究会指導優秀賞

    2018.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • 2014年度 BC班別研究会指導優秀賞

    2015.9   一般財団法人 日本科学技術連盟  

    長塚豪己

  • 2008 Outstanding Young Scientist Award presented by the IEEE Reliability Society Japan Chapter

    2009  

  • 日本信頼性学会 高木賞

    2007  

  • Academic Encouragement Award

    2005.3   Chuo University  

    Hideki Nagatsuka

  • 日本信頼性学会 高木賞

    2004  

  • 日本信頼性学会 奨励賞

    1999  

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Research Projects

  • 一般化を志向したTweedie過程に基づく劣化現象のモデリングと統計的推測理論の構築 International coauthorship

    2024.4 - 2027.3

    日本学術振興会  科学研究費補助金  基盤研究(C) 

    長塚豪己

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  • 信頼性・安全性トラブル未然防止へのモバイルIoTモニタリングシステムの開発と展開

    2020.4 - 2025.3

    日本学術振興会  科学研究費補助金 基盤研究(B) 

    鈴木和幸

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    Authorship:Coinvestigator(s) 

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  • 太陽光発電関連領域におけるコンサルティング

    2023.4 - 2024.4

    富士グリーンパワー株式会社  コンサルティング 

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    Authorship:Principal investigator 

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  • 電池に関する共同研究

    2023.4 - 2024.3

    本田技研工業株式会社  共同研究  本田技術研究所

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    Authorship:Principal investigator 

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  • 電池に関する共同研究

    2022.4 - 2023.3

    本田技研工業株式会社  共同研究  本田技術研究所

    長塚豪己

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  • New developments of extreme value theory based on monitoring data and statistical inference

    2019.4 - 2023.3

    Japan Society for Promotion of Science  Grants-in-Aid for Scientific Research (C) 

    NAGATSUKA Hideki

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  • 統計学・信頼性工学・経営工学に関するコンサルティング

    2022.8 - 2022.12

    本田技研工業株式会社  コンサルティング 

    長塚豪己

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  • 太陽光発電の統計解析に関する技術コンサルティング

    2021.11 - 2022.6

    富士グリーンパワー株式会社  コンサルティング 

    長塚豪己

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  • 電池に関する共同研究

    2021.4 - 2022.3

    本田技研工業株式会社  共同研究  本田技術研究所

    長塚豪己

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  • 四輪関連領域におけるデータ活用

    2020.9 - 2021.3

    本田技研工業株式会社  コンサルティング 

    長塚豪己

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  • リスクモードとオンラインモニタリング技術高度化に着目した未然防止体系の新展開

    2015.4 - 2020.3

    日本学術振興会  科学研究費補助金 基盤研究(A) 

    鈴木和幸

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    Grant type:Competitive

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  • 極値理論に基づく統計的推測理論の構築とその応用

    2015.4 - 2019.3

    日本学術振興会  科学研究費補助金 基盤研究(C) 

    長塚豪己

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  • Solving non-regularity problem and establishing tests and interval estimation for distributions with threshold parameter

    2012.4 - 2015.3

    Japan Society for the Promotion of Science  Grant-in-Aid for Young Scientists (B) 

    Hideki Nagatsuka

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    Authorship:Principal investigator  Grant type:Competitive

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  • QRIS

    2010.4 - 2015.3

    Japan Society for the Promotion of Science  Grant-in-Aid for Scientific Research (A) 

    Kazuyuki Suzuki

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    Grant type:Competitive

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  • Automated Japanese Essay Scoring System

    2011.4 - 2014.3

    Japan Society for the Promotion of Science  Grant-in-Aid for Challenging Exploratory Research 

    Tsunenori Ishioka

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    Grant type:Competitive

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  • Solving non-regularity problem and establishing method of parameter estimation for distributions with threshold parameter

    Grant number:21710155  2009.4 - 2012.3

    Japan Society for the Promotion of Science  Grant-in-Aid for Young Scientists (B)  Grant-in-Aid for Young Scientists (B)  Tokyo Metropolitan University

    Hideki Nagatsuka

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    Authorship:Principal investigator  Grant type:Competitive

    For the sake of establishing method of parameter estimation for distributions with threshold parameter, lifetime distributions including Weibull, gamma, lognormal and inverse Gaussian distributions, which are very important stochastic models especially in reliability and quality control, estimation methods avoiding the non-regularity problem have been proposed and then evaluated.

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Other

  • 国際空手道連盟 極真会館 初段

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    第36回オープントーナメント全日本空手道選手権大会 (無差別全日本),
    第17回~第22回全日本ウェイト制空手道選手権大会 (体重別全日本) 出場

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  • いきなりステーキ プラチナ会員

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Allotted class

  • 2024   Internship   Department

  • 2024   Experiments in Data Science A   Department

  • 2024   Introduction to Data Science   Department

  • 2024   Graduation Thesis Ⅰ   Department

  • 2024   Graduation Thesis Ⅱ   Department

  • 2024   Mathematical Statistics   Department

  • 2024   Production System Design   Department

  • 2024   Statistics   Department

  • 2024   Exercise in Statistics   Department

  • 2024   Doctoral Research Ⅰ   Graduate school

  • 2024   Doctoral Research Ⅱ   Graduate school

  • 2024   Doctoral Research Ⅲ   Graduate school

  • 2024   Doctoral Research Ⅳ   Graduate school

  • 2024   Doctoral Research Ⅴ   Graduate school

  • 2024   Doctoral Research Ⅵ   Graduate school

  • 2024   Special lecture on Data Science   Graduate school

  • 2024   Master's Research Ⅰ   Graduate school

  • 2024   Master's Research Ⅲ   Graduate school

  • 2024   Master's Research Ⅱ   Graduate school

  • 2024   Master's Research Ⅳ   Graduate school

  • 2024   Bayesian Statistics   Graduate school

  • 2024   Mathematical Statistics   Graduate school

  • 2024   Mathematical Statistics   Graduate school

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Committee Memberships

  • 2020.4 - Now

    一般財団法人 日本科学技術連盟 デザインレビュー運営小委員会   委員長  

  • 2020.4 - Now

    一般財団法人 日本科学技術連盟   信頼性運営委員会 委員  

  • 2019.7 - Now

    Communications in Statistics - Theory and Methods (Taylor & Francis)   Associate Editor  

  • 2019.7 - Now

    Communications in Statistics - Simulation and Computation (Taylor & Francis)   Associate Editor  

  • 2019.7 - Now

    Communications in Statistics: Case Studies, Data Analysis and Applications (Taylor & Francis)   Associate Editor  

  • 2019.1 - Now

    一般財団法人 日本科学技術連盟   デミング賞委員会 委員  

  • 2019.1 - Now

    一般財団法人 日本科学技術連盟 日経品質管理文献賞選考委員会   委員  

  • 2017.1 - Now

    International Statistical Institute (ISI)   Elected Member  

  • 2015.1 - Now

    Lifetime Data Analysis (Springer)   Associate Editor  

  • 2014.12 - Now

    一般財団法人 日本科学技術連盟 品質管理シンポジウム(QCS)   GDリーダー, 招待討論者  

  • 2014.9 - Now

    一般財団法人 日本科学技術連盟 信頼性保全性シンポジウム組織委員会   委員  

  • 2014.4 - Now

    一般財団法人 日本科学技術連盟 デザインレビュー運営小委員会   委員  

  • 2012.4 - Now

    一般財団法人 日本科学技術連盟 信頼性セミナー基礎コース運営小委員会   委員  

  • 2011.4 - Now

    一般財団法人 日本科学技術連盟 品質管理セミナーベーシックコースST分科会   委員  

  • 2006 - Now

    日本信頼性学会 編集委員会   ニュース小委員長  

  • 2017.1 - 2019.1

    一般財団法人 統計質保証推進協会   統計検定問題策定委員会 第1分科会 委員 (統計検定1級担当)  

  • 2012 - 2015.6

    The Ninth International Conference on Mathematical Methods in Reliability   Executive Committee Member  

  • 2013.1 - 2014.12

    IEEE Reliability Society Japan Chapter   Secretary  

  • 2011.1 - 2012.12

    IEEE Reliability Society Japan Chapter   Treasurer  

  • 2010 - 2012

    日本経営工学会   JIMA若手研究部会 幹事  

  • 2010 - 2012

    日本品質管理学会   学会誌編集委員会品質誌文献紹介WG 委員  

  • 2009 - 2011

    日本経営工学会 論文誌編集委員会 委員  

  • 2009 - 2011

    電子情報通信学会   ハンドブック/知識ベース委員会 執筆委員  

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