Read Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Yasunori Fujikoshi

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Description:This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional approximations for bootstrap procedures, Cornish–Fisher expansions, power-divergence statistics and approximations of statistics based on observations with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for several complicated statistics. It is a valuable resource for researchers with a basic understanding of multivariate statistics.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Non-Asymptotic Analysis of Approximations for Multivariate Statistics. To get started finding Non-Asymptotic Analysis of Approximations for Multivariate Statistics, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 133

Format: PDF, EPUB & Kindle Edition

Publisher: Springer Nature

Release: 2020

ISBN: SNHtDwAAQBAJ

Description: This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional approximations for bootstrap procedures, Cornish–Fisher expansions, power-divergence statistics and approximations of statistics based on observations with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for several complicated statistics. It is a valuable resource for researchers with a basic understanding of multivariate statistics.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Non-Asymptotic Analysis of Approximations for Multivariate Statistics. To get started finding Non-Asymptotic Analysis of Approximations for Multivariate Statistics, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Non-Asymptotic Analysis of Approximations for Multivariate Statistics

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