Yasunori Fujikoshi

(Author)

Non-Asymptotic Analysis of Approximations for Multivariate Statistics (2020)Paperback - 2020, 28 June 2020

Non-Asymptotic Analysis of Approximations for Multivariate Statistics (2020)
Qty
1
Turbo
Ships in 2 - 3 days
In Stock
Free Delivery
Cash on Delivery
15 Days
Free Returns
Secure Checkout
Buy More, Save More
Turbo Shipping
Part of Series
Springerbriefs in Statistics
Part of Series
Jss Research Series in Statistics
Part of Series
Jss Research Statistics
Print Length
130 pages
Language
English
Publisher
Springer
Date Published
28 Jun 2020
ISBN-10
9811326150
ISBN-13
9789811326158

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.

Product Details

Authors:
Yasunori FujikoshiVladimir V Ulyanov
Book Edition:
2020
Book Format:
Paperback
Country of Origin:
NL
Date Published:
28 June 2020
Dimensions:
23.39 x 15.6 x 0.76 cm
ISBN-10:
9811326150
ISBN-13:
9789811326158
Language:
English
Location:
Singapore
Pages:
130
Publisher:
Weight:
208.65 gm

Related Categories


Need Help?
+971 6 731 0280
support@gzb.ae

About UsContact UsPayment MethodsFAQsShipping PolicyRefund and ReturnTerms of UsePrivacy PolicyCookie Notice

VisaMastercardCash on Delivery

© 2024 White Lion General Trading LLC. All rights reserved.