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Bootstrap Methods and their Application by A.C. Davison
Bootstrap Methods and their Application by A.C. Davison
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Bootstrap Methods and their Application

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Description

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 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.
Release date NZ
October 28th, 1997
Audience
  • Tertiary Education (US: College)
Illustrations
Worked examples or Exercises; 70 Tables, unspecified; 120 Line drawings, unspecified
Pages
594
Dimensions
178x251x33
ISBN-13
9780521574716
Product ID
2397935

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