Approximate Distributions of Order Statistics - With Applications to Nonparametric Statistics (Paperback, Softcover reprint of the original 1st ed. 1989)

This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on results concern ing the accuracy oflimit theorems, on higher order approximations, and other approximations in quite a general sense. Contrary to the classical limit theorems that primarily concern the weak convergence of distribution functions, our main results will be formulated in terms of the variational and the Hellinger distance. These results will form the proper springboard for the investigation of parametric approximations of nonparametric models of joint distributions of order statistics. The approxi mating models include normal as well as extreme value models. Several applications will show the usefulness of this approach. Other recent developments in statistics like nonparametric curve estima tion and the bootstrap method will be studied as far as order statistics are concerned. 1n connection with this, graphical methods will, to some extent, be explored."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	December 2011
First published:	1989
Authors:	Rolf-Dieter Reiss
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	355
Edition:	Softcover reprint of the original 1st ed. 1989
ISBN-13:	978-1-4613-9622-2
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	1-4613-9622-0
Barcode:	9781461396222

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