Bootstrap Methods and their Application

D Hinkley

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Language: English

Published by Cambridge University Press, 1997

0521574714 / 9780521574716

Series: Book 2 of 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 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. S-Plus programs for implementing the methods described in the text are available from the supporting website.…

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Title
Bootstrap Methods and their Application
Author
D Hinkley
Publisher
Cambridge University Press
Publication year
1997
Condition
Good
Binding
Paperback
Language
English
ISBN 10
0521574714
ISBN 13
9780521574716
Series
Book 2 of 64: Cambridge Series in Statistical and Probabilistic Mathematics

World of Books Inc

Montgomery, IL, U.S.A.

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