Subsampling (Springer Series in Statistics) 1999th Edition by Dimitris N. Politis (PDF)

Description

Since Efron’s profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.

User’s Reviews

Editorial Reviews: Review “The book is one of the most comprehensive texts in the subsampling realm and provides a solid background for researchers working in the related areas of statistics.”V.V. Fedorov in “Short Book Reviews”, Vol. 21/1, April 2001 About the Author Dimitris N. Politis is Associate Professor of Mathematics at the University of California, San Diego.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Excellent introduction to what I found to be a “new” area.

⭐Subsampling is a form of data reuse similar to the bootstrap. However the idea of subsampling preceded the bootstrap. The original work is due to Hartigan in the 1970s and was motivation for some of Efron’s ideas on bootstrap. The authors begin with a treatment of bootstrap theory. They then introduce subsampling under the assumption that the data are independent and identically distributed (i.i.d). They then provide the theoretical development of subsampling for i.i.d. data, stationary time series, non-stationary time series, random fields and marked point processes. The material is thorough and includes some of the authors’ own original research. It is a highly advanced text that presupposes a first year graduate course in theoretical statistics

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Subsampling (Springer Series in Statistics) 1999th Edition 1999 PDF Free Download
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