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Bootstrap methods and their application

Author: A C Davison; D V Hinkley
Publisher: Cambridge ; New York, NY, USA : Cambridge University Press, 1997.
Series: Cambridge series on statistical and probabilistic mathematics.
Edition/Format:   Print book : 3.5 in. disc : EnglishView all editions and formats
Summary:
Bootstrap methods are computer-intensive statistical methods of analysis that use simulation to calculate standard errors, confidence intervals and significance tests. This book includes S-Plus software for implementing ideas contained in the text.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: A C Davison; D V Hinkley
ISBN: 0521573912 9780521573917 0521574714 9780521574716
OCLC Number: 849691531
Description: x, 582 pages : illustrations ; 26 cm ₊ 1 computer disc (3 1/2 in.).
Details: "The disk ... contains the library functions and documentation for use with Splus for Windows"--Page 524.
Contents: The basic bootstrap --
Further ideas --
Tests --
Confidence intervals --
Linear regression --
Further topics in regression --
Complex dependence --
Improved calculation --
Semiparametric likelihood inference --
Computer implementation.
Series Title: Cambridge series on statistical and probabilistic mathematics.
Responsibility: A.C. Davison, D.V. Hinkley.
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Abstract:

Bootstrap methods are computer-intensive statistical methods of analysis that use simulation to calculate standard errors, confidence intervals and significance tests. This book includes S-Plus software for implementing ideas contained in the text.

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