Asymptotic Theory Of Testing Statistical Hypotheses Modern Probability And Statistics (Hb 2000)

BENING VLADIMIR E. ET.AL

ISBN 10: 9067643238 / ISBN 13: 9789067643238

Published by DE GRUYTER, 2000

About this Item

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABNR-52712

Bibliographic Details

Title: Asymptotic Theory Of Testing Statistical ...

Publisher: DE GRUYTER

Publication Date: 2000

Binding: Hardcover

Condition: New

About this title

Synopsis:

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information.

Synopsis:

The aim of this volume is to present an introduction to the modern asymptotic theory of testing statistical hypotheses and to give an overview of methods used for the investigation of the higher order asymptotics for the widely used statistics such as linear combinations of order statistics (L-statistics), linear rank statistics ( R-statistics), and U-statistics, etc. Only purely theoretical, mathematical aspects of the subjects are considered. In the book, the problem of testing a simple hypothesis concerning a one-dimensional parameter against a sequence of close one-sided alternatives is considered, based on the so called Pitman's approach where both size and power of tests are separated from zero and one, respectively, for second order deficiency, asymptotic deficiency and power loss. The book provides base statements, which are provided with the use of a technically rather simple, though more clear and visible method. Main attention is focused on tests based on linear rank statistics, linear combinations of order statistics and U-statistics. This volume should be of value and interest to specialists in probability theory and mathematical statistics.