Non Asymptotic Analysis of Approximations for Multivariate Statistics is popular PDF and ePub book, written by Yasunori Fujikoshi in 2020, it is a fantastic choice for those who relish reading online the Approximation theory genre. Let's immerse ourselves in this engaging Approximation theory book by exploring the summary and details provided below. Remember, Non Asymptotic Analysis of Approximations for Multivariate Statistics can be Read Online from any device for your convenience.
Non Asymptotic Analysis of Approximations for Multivariate Statistics Book PDF Summary
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.
Detail Book of Non Asymptotic Analysis of Approximations for Multivariate Statistics PDF
- Author : Yasunori Fujikoshi
- Release : 20 September 2024
- Publisher : Unknown
- ISBN : 9811326177
- Genre : Approximation theory
- Total Page : 133 pages
- Language : English
- PDF File Size : 21,7 Mb
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