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Shutoh Nobumichi  首藤 信通

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SHUTOH Nobumichi  首藤 信通

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Researcher Number 00634099
Other IDs
Affiliation (Current) 2025: 神戸薬科大学, 薬学部, 教授
Affiliation (based on the past Project Information) *help 2020 – 2021: 近畿大学, 理工学部, 准教授
2016 – 2019: 神戸大学, 海事科学研究科, 講師
2016: 神戸大学, 大学院海事科学研究科, 講師
2013: 神戸大学, 大学院・海事科学研究科, 講師
Review Section/Research Field
Principal Investigator
Basic Section 12040:Applied mathematics and statistics-related / Foundations of mathematics/Applied mathematics
Except Principal Investigator
Statistical science / Statistical science
Keywords
Principal Investigator
非正規母集団 / 統計的漸近理論 / 仮説検定 / 欠測データ / Bartlett型修正 / 検出力 / 漸近展開 / 変数選択 / 判別分析 / 尤度比検定 … More / 楕円分布族 / 高次元データ / 多変量解析 / 楕円分布 / 欠測値データ / 漸近検出力 / 平均ベクトル / 検出力関数 … More
Except Principal Investigator
統計科学 / 漸近展開 / 多変量解析 / 統計理論 / 統計数学 / 欠測値データ / 欠損データ / 尤度比検定 / 多変量解析法 / 漸近理論 Less
  • Research Projects

    (4 results)
  • Research Products

    (22 results)
  • Co-Researchers

    (4 People)
  •  Studies on general and nearly exact statistical methods for monotone missing data under nonnormality and their applicationsPrincipal Investigator

    • Principal Investigator
      Shutoh Nobumichi
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 12040:Applied mathematics and statistics-related
    • Research Institution
      Kindai University
      Kobe University
  •  High-Dimensional and Large-Sample Asymptotic Theory for the Test Statistics with Monotone Missing Data and Its ApplicationPrincipal Investigator

    • Principal Investigator
      Shutoh Nobumichi
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Foundations of mathematics/Applied mathematics
    • Research Institution
      Kobe University
  •  Development of Multivariate Statistical Procedure for High Dimensional and Missing Data and Its Application

    • Principal Investigator
      SEO Takashi
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Tokyo University of Science
  •  Development of Some Multivariate Statistical Inference Procedures for Missing and High Dimensional Data and Its Application

    • Principal Investigator
      SEO Takashi
    • Project Period (FY)
      2011 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Tokyo University of Science

All 2021 2020 2019 2018 2017 2016 2013 2012 2011

All Journal Article Presentation

  • [Journal Article] Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model2020

    • Author(s)
      Shutoh, N.
    • Journal Title

      Communications in Statistics - Theory and Methods

      Volume: 印刷中 Issue: 19 Pages: 4448-4469

    • DOI

      10.1080/03610926.2020.1716254

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K14595
  • [Journal Article] Asymptotic power comparison of T^2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data2019

    • Author(s)
      Masashi Hyodo, Nobumichi Shutoh
    • Journal Title

      Communications in Statistics - Theory and Methods

      Volume: 印刷中

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Journal Article] On the asymptotic distribution of T^2-type statistic with two-step monotone missing data2018

    • Author(s)
      Tamae Kawasaki, Nobumichi Shutoh, Takashi Seo
    • Journal Title

      Journal of Statistical Theory and Practice

      Volume: 印刷中 Issue: 3 Pages: 657-668

    • DOI

      10.1080/15598608.2018.1450795

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K17642, KAKENHI-PROJECT-17K00058
  • [Journal Article] Bartlett correction to the likelihood ratio test for MCAR with two-step monotone sample2017

    • Author(s)
      Shutoh, N., Nishiyama, T., Hyodo, M.
    • Journal Title

      Statistica Neerlandica

      Volume: 印刷中

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Journal Article] Approximation for the percentiles of the sample coefficient of variation2017

    • Author(s)
      Nobumichi Shutoh
    • Journal Title

      Journal of Statistics: Advances in Theory and Applications

      Volume: 18 Issue: 1 Pages: 55-72

    • DOI

      10.18642/jsata_7100121871

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Journal Article] Estimation of the large covariance matrix with two-step monotone missing data2013

    • Author(s)
      Masashi Hyodo, Nobumichi Shutoh, Takashi Seo and Tatjana Pavlenko
    • Journal Title

      Technical Report, Statistical Research Grourp, Hiroshima University

      Volume: 13巻

    • Data Source
      KAKENHI-PROJECT-23500360
  • [Journal Article] Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data2012

    • Author(s)
      Nobumichi Shutoh, Masashi Hyodo, Tatjana Pavlenko and Takashi Seo
    • Journal Title

      SUT Journal of Mathematics

      Volume: 48巻 Pages: 55-70

    • NAID

      120006397944

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500360
  • [Journal Article] Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data2012

    • Author(s)
      Shutoh, N., Hyodo, M., Seo, T. and Pavlenko, T
    • Journal Title

      SUT Journal of Mathematics

      Volume: 48 Pages: 55-69

    • NAID

      120006397944

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500360
  • [Journal Article] An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples2011

    • Author(s)
      Shutoh, N., Hyodo, M. and Seo, T
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 102 Pages: 252-263

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500360
  • [Presentation] 2-step単調欠測データに基づく判別関数の係数に対する仮説検定2021

    • Author(s)
      岡田悠希,首藤信通
    • Organizer
      日本計算機統計学会第35回大会
    • Data Source
      KAKENHI-PROJECT-19K14595
  • [Presentation] 楕円母集団から得られた2-step単調欠測データに基づく平均ベクトルの尤度比検定の検出力について2020

    • Author(s)
      米口 貴誠, 首藤 信通, 兵頭 昌
    • Organizer
      日本計算機統計学会 第34回シンポジウム
    • Data Source
      KAKENHI-PROJECT-19K14595
  • [Presentation] Effect of nonnormality on the distribution of the statistics for testing a mean vector with two-step monotone missing data2019

    • Author(s)
      Shutoh, N.
    • Organizer
      10th International Workshop on Simulation and Statistics (SimStat2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K14595
  • [Presentation] Asymptotic distribution of the linear discriminant function with two-step monotone sample2019

    • Author(s)
      Shutoh, N.
    • Organizer
      12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K14595
  • [Presentation] Effect of nonnormality for the null distribution of T^2-type test statistic based on two-step monotone sample under elliptical distributions2018

    • Author(s)
      首藤 信通
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Presentation] 2-step単調欠測データにおける平均ベクトルに関する仮説検定の漸近検出力について2017

    • Author(s)
      小川 颯, 兵頭 昌, 首藤 信通
    • Organizer
      日本計算機統計学会 第31回大会 シンポジウム
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Presentation] 2-step単調欠測データにおけるT^2型検定統計量の帰無分布に対する漸近展開2016

    • Author(s)
      川崎 玉恵,首藤 信通,瀬尾 隆
    • Organizer
      日本統計学会春季集会
    • Place of Presentation
      東北大学
    • Year and Date
      2016-03-05
    • Data Source
      KAKENHI-PROJECT-26330050
  • [Presentation] 単調欠測データに基づく線形判別分析と仮説検定法2016

    • Author(s)
      首藤信通
    • Organizer
      2016年日本数学会秋季総合分科会
    • Place of Presentation
      関西大学千里山キャンパス(大阪府吹田市)
    • Year and Date
      2016-09-17
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Presentation] Bartlett correction to the likelihood ratio test for MCAR with two-step monotone missing data2016

    • Author(s)
      首藤信通,西山貴弘,兵頭昌
    • Organizer
      科研費シンポジウム「統計科学における数理と理論の最先端について」
    • Place of Presentation
      北海道大学大学院経済学研究科(北海道札幌市)
    • Year and Date
      2016-10-29
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Presentation] Modified likelihood ratio test for MCAR with two-step monotone missing data2016

    • Author(s)
      西山貴弘,首藤信通,兵頭昌
    • Organizer
      2016年度統計関連学会連合大会
    • Place of Presentation
      金沢大学角間キャンパス(石川県金沢市)
    • Year and Date
      2016-09-06
    • Data Source
      KAKENHI-PROJECT-16K17642
  • [Presentation] Tatjana Pavlenko, Comparison of two highdimensional linear discrimination methods2011

    • Author(s)
      兵頭 昌, 首藤 信通, 瀬尾 隆
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-05
    • Data Source
      KAKENHI-PROJECT-23500360
  • [Presentation] Comparison of two high-dimensional linear discrimination methods2011

    • Author(s)
      兵頭 昌,首藤 信通, 瀬尾 隆,Tatjana Pavlenko
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Data Source
      KAKENHI-PROJECT-23500360
  • [Presentation] 2-step単調欠測データのもとでの分散共分散行列の同等性検定統計量の漸近分布について2011

    • Author(s)
      福本 裕子, 首藤 信通, 瀬尾 隆
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-06
    • Data Source
      KAKENHI-PROJECT-23500360
  • 1.  SEO Takashi (00266909)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 8 results
  • 2.  NISHIYAMA Takahiro (30516472)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  KOIZUMI Kazuyuki (70548148)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  HYODO Masashi (00711764)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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