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Bibliographic Details

Title: Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)
Publisher: Cambridge University Press
Publication Date: 1997
Language: English
ISBN 10: 0521574714
ISBN 13: 9780521574716
Binding: Soft cover
Edition: 1st Edition
Printing: 2nd Printing
Condition: Fine

About this title

Synopsis

This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. Included with the book is a disk of purpose-written S-Plus programs for implementing the methods described in the text. Computer algorithms are clearly described, and computer code is included on a 3-inch, 1.4M disk for use with IBM computers and compatible machines. Users must have the S-Plus computer application. Author resource page: http://statwww.epfl.ch/davison/BMA/

Book Description

The bootstrap technique is a powerful and modern tool used in the analysis of statistical data. This book is the first that is aimed at users of the method. It describes many examples, and includes programs in S-plus, available on a disk supplied with the book, for practical use.

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