Enomoto Rie 榎本理恵

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ENOMOTO Rie 榎本理恵

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Researcher Number	30711767
Other IDs
Affiliation (Current)	2025: 国士舘大学, 体育学部, 講師
Affiliation (based on the past Project Information) *help	2023: 国士舘大学, 体育学部, 講師 2018 – 2022: 成蹊大学, 理工学部, 助教 2017: 東京理科大学, 理学部第一部応用数学科, 助教 2015 – 2016: 東京理科大学, 理学部第一部数理情報科学科, 助教 2013 – 2014: 東京理科大学, 理学部, 助教
Review Section/Research Field	Principal Investigator Statistical science / Basic Section 60030:Statistical science-related
Keywords	Principal Investigator 統計科学 / 多変量解析 / 統計化学 / 応用統計 / データサイエンス / 情報量規準 / 高次元データ

多変量モデルにおける変数選択問題の応用とデータへの適用Principal Investigator
- Principal Investigator
  
  榎本理恵
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Kokushikan University
  Seikei University
Multivariate normality test, and inference for variable selection in high-dimensional model and its applicationsPrincipal Investigator
- Principal Investigator
  
  Enomoto Rie
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Seikei University
  Tokyo University of Science
Normality test and celection of multivariate model for high-dimension dataPrincipal Investigator
- Principal Investigator
  
  ENOMOTO Rie
- Project Period (FY)
  2013 – 2014
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Statistical science
- Research Institution
  Tokyo University of Science

All 2023 2020 2018 2017 2015 2014 2013 Other

All Journal Article Presentation Book

[Book] R・Python による統計データ科学2020
- Author(s)
  杉山高一，藤越康祝(監修) ，榎本理恵，その他著者
- Total Pages
  272
- Publisher
  勉誠出版
- ISBN
  9784585240112
- Data Source
  KAKENHI-PROJECT-15K15953
[Journal Article] Multivariate normality test using normalizing transformation for Mardia's multivariate kurtosis2020
- Author(s)
  Rie Enomoto, Zofia Hanusz, Ayako Hara, Takashi Seo
- Journal Title
  
  COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
  
  Volume: 49 Issue: 3 Pages: 684-698
- DOI
  10.1080/03610918.2019.1661476
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00058, KAKENHI-PROJECT-15K15953
[Journal Article] High-Dimensional Asymptotic Distributions of Simplified MLEs in Growth Curve Model with an Autoregressive Covariance Structure2017
- Author(s)
  Tetsuro Sakurai, Rie Enomoto and Yasunori Fujikoshi
- Journal Title
  
  Technical Report, Statistical Research Grourp, Hiroshima University
  
  Volume: 17 Pages: 1-16
- Data Source
  KAKENHI-PROJECT-15K15953
[Journal Article] A Monte Carlo comparison of Jarque-Bera type tests and Henze-Zirkler test of multivariate normality2017
- Author(s)
  Zofia Hanusz, Rie Enomoto, Takashi Seo, Kazuyuki Koizumi
- Journal Title
  
  Communications in Statistics - Simulation and Computation
  
  Volume: 印刷中 Issue: 5 Pages: 1439-1452
- DOI
  10.1080/03610918.2017.1315771
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26330050, KAKENHI-PROJECT-15K15953, KAKENHI-PROJECT-17K00058
[Journal Article] Consistency properties of AIC, BIC, Cp and their modifications in the growth curve model under a large-(q,n) framework2015
- Author(s)
  Rie Enomoto, Tetsuro Sakurai and Yasunori Fujikoshi
- Journal Title
  
  SUT Journal of Mathematic
  
  Volume: 51 Pages: 59-81
- NAID
  120006397883
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15K15953
[Journal Article] Consistency properties of AIC, BIC, Cp and their modifications in the growth curve model under a large-(q;n) framework2015
- Author(s)
  Enomoto, R., Sakurai, T. and Fujikoshi, Y.
- Journal Title
  
  SUT Journal of Mathematics
  
  Volume: 51
- NAID
  120006397883
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25880017
[Journal Article] High-dimensional AIC in the growth curve model2013
- Author(s)
  Yasunori Fujikoshi、Rie Enomoto、Tetsurou Sakurai
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 122 Pages: 239-250
- DOI
  10.1016/j.jmva.2013.07.006
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25330038, KAKENHI-PROJECT-25880017
[Journal Article] Consistency of AIC and its modification in the growth curve model under a large-(q, n) framework2013
- Author(s)
  Rie Enomoto, Tetsuro Sakurai and Yasunori Fujikoshi
- Journal Title
  
  SUT Journal of Mathematics
  
  Volume: 49 Pages: 93-107
- NAID
  120006397922
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25880017
[Presentation] 成長曲線モデルに対するモデル選択規準について2023
- Author(s)
  榎本　理恵
- Organizer
  研究集会「多変量統計学・統計的モデル選択の新展開」
- Data Source
  KAKENHI-PROJECT-20K19761
[Presentation] 高次元成長曲線モデルにおける情報量規準の一致性2020
- Author(s)
  榎本　理恵
- Organizer
  日本数学会2021年度年会（特別講演）
- Data Source
  KAKENHI-PROJECT-20K19761
[Presentation] 一様共分散構造をもつ成長曲線モデルのモデル選択規準について2018
- Author(s)
  榎本理恵
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K15953
[Presentation] 一様および自己回帰共分散構造をもつ成長曲線モデルに関する高次元推測2015
- Author(s)
  榎本理恵，櫻井哲朗，藤越康祝
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県岡山市）
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-15K15953
[Presentation] 一様共分散構造をもつ成長曲線モデルに対する次数選択について2015
- Author(s)
  榎本理恵
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県岡山市）
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-15K15953
[Presentation] 成長曲線モデルにおける各規準量の高次元一致性2014
- Author(s)
  榎本理恵，櫻井哲朗，藤越康祝
- Organizer
  2014年度統計関連学会連合大会
- Place of Presentation
  東京大学　本郷キャンパス
- Year and Date
  2014-09-14
- Data Source
  KAKENHI-PROJECT-25880017
[Presentation] The omnibus test statistics for normality based on sample moments
- Author(s)
  榎本理恵，岡本直也
- Organizer
  統計関連学会連合大会
- Place of Presentation
  大阪大学　豊中キャンパス
- Data Source
  KAKENHI-PROJECT-25880017
[Presentation] 成長曲線モデルにおける各規準量の高次元漸近分布
- Author(s)
  榎本理恵，櫻井哲朗，藤越康祝
- Organizer
  統計関連学会連合大会
- Place of Presentation
  大阪大学　豊中キャンパス
- Data Source
  KAKENHI-PROJECT-25880017

1. 藤越康祝

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 瀬尾隆

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
3. 小泉和之

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Enomoto Rie 榎本 理恵

ENOMOTO Rie 榎本 理恵

Research Projects

Research Products

Co-Researchers

多変量モデルにおける変数選択問題の応用とデータへの適用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Multivariate normality test, and inference for variable selection in high-dimensional model and its applicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Normality test and celection of multivariate model for high-dimension dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] R・Python による 統計データ科学2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Multivariate normality test using normalizing transformation for Mardia's multivariate kurtosis2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] High-Dimensional Asymptotic Distributions of Simplified MLEs in Growth Curve Model with an Autoregressive Covariance Structure2017

Author(s)

Journal Title

Data Source

[Journal Article] A Monte Carlo comparison of Jarque-Bera type tests and Henze-Zirkler test of multivariate normality2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Consistency properties of AIC, BIC, Cp and their modifications in the growth curve model under a large-(q,n) framework2015

Author(s)

Journal Title

NAID

Data Source

[Journal Article] Consistency properties of AIC, BIC, Cp and their modifications in the growth curve model under a large-(q;n) framework2015

Author(s)

Journal Title

NAID

Data Source

[Journal Article] High-dimensional AIC in the growth curve model2013

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Consistency of AIC and its modification in the growth curve model under a large-(q, n) framework2013

Author(s)

Journal Title

NAID

Data Source

[Presentation] 成長曲線モデルに対するモデル選択規準について2023

Author(s)

Organizer

Data Source

[Presentation] 高次元成長曲線モデルにおける情報量規準の一致性2020

Author(s)

Organizer

Data Source

[Presentation] 一様共分散構造をもつ成長曲線モデルのモデル選択規準について2018

Author(s)

Organizer

Data Source

[Presentation] 一様および自己回帰共分散構造をもつ成長曲線モデルに関する高次元推測2015

Author(s)

Organizer

Place of Presentation

Year and Date

Enomoto Rie 榎本理恵

ENOMOTO Rie 榎本理恵

[Book] R・Python による統計データ科学2020