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Science/Engineering Self-Normalized Processes: Limit Theory and Statistical Applications

Posted on 2010-03-16




Name:Science/Engineering Self-Normalized Processes: Limit Theory and Statistical Applications
ASIN/ISBN:3540856358
Language:English
File size:2.3 Mb
Publish Date: January 29, 2009
ISBN: 3540856358
Pages: 275 pages
File Type: PDF
File Size: 2.30 mb
Other Info: Springer
   Science/Engineering Self-Normalized Processes: Limit Theory and Statistical Applications

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Victor H. de la Peña, Tze Leung Lai, and Qi-Man Shao,"Self-Normalized Processes: Limit Theory and Statistical Applications"

Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear 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 self-normalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that self-normalized processes are approximate pivots for statistical inference.



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