Bootstrap Methods and their Application
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Bootstrap Methods and their Application by A. C. Davison
Book DescriptionBootstrap 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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Book DetailsISBN: 9780521574716
(253mm x 177mm x 31mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 28-Oct-1997
Country of Publication: United Kingdom
Books By Author A. C. Davison
Statistical Models, Paperback (June 2008)
This 2003 book gives an integrated development of models and likelihood that blends theory and practice.
Applied Asymptotics, Hardback (May 2007)
First practical treatment of small-sample asymptotics, enabling practitioners to apply new methods with confidence.
Celebrating Statistics, Hardback (September 2005)» View all books by A. C. Davison
Originating from a meeting celebrating the 80th birthday of Sir David Cox, this book presents a collection of chapters by major statistical researchers on current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine.
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