Selfnormalized processes : limit theory and statistical applications
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The work Selfnormalized processes : limit theory and statistical applications represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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Selfnormalized processes : limit theory and statistical applications
Resource Information
The work Selfnormalized processes : limit theory and statistical applications represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Selfnormalized processes : limit theory and statistical applications
 Title remainder
 limit theory and statistical applications
 Statement of responsibility
 Victor H. de la Peña, Tze Leung Lai, QiMan Shao
 Language
 eng
 Summary
 Selfnormalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's tstatistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly nonlinear nature of these processes, the theory experienced a long period of slow development. In recent years there have been a number of important advances in the theory and applications of selfnormalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that selfnormalized processes are approximate pivots for statistical inference. The present volume covers recent developments in the area, including selfnormalized large and moderate deviations, and laws of the iterated logarithms for selfnormalized martingales. This is the first book that systematically treats the theory and applications of selfnormalization
 Cataloging source
 GW5XE
 Dewey number
 519.2
 Index
 index present
 LC call number
 QA273.15
 LC item number
 .P46 2009eb
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 NLM call number
 Online Book
 Series statement
 Probability and its applications
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