Téléchargez le livre : Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Non-Asymptotic Analysis of Approximations for Multivariate Statistics

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Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2020-06-28

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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.
 
Pages
130 pages
Collection
SpringerBriefs in Statistics
Parution
2020-06-28
Marque
Springer
EAN papier
9789811326158
EAN PDF
9789811326165
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2458 Ko
Prix
63,29 €
EAN EPUB
9789811326165
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
9564 Ko
Prix
63,29 €

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