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BOOTSTRAP METHODS AND THEIR APPLICATION: Cambridge Series in Statistical and Probabilistic Mathematics

BOOTSTRAP METHODS AND THEIR APPLICATION: Cambridge Series in Statistical and Probabilistic Mathematics

BOOTSTRAP METHODS AND THEIR APPLICATION: Cambridge Series in Statistical and Probabilistic Mathematics Paperback - 1997 - 1st Edition

by A.C. DAVISON AND D.V. HINKLEY

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N.Y.: Cambridge University Press, 1997. First Edition. Fine. A fine, clean and tight copy. First paperback edition. Comes with diskette. A very nice copy in unused condition. No bent corners, no creases to stiff wrappers. No underlining, no signatures. A very nice copy.
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Details

  • Title BOOTSTRAP METHODS AND THEIR APPLICATION: Cambridge Series in Statistical and Probabilistic Mathematics
  • Author A.C. DAVISON AND D.V. HINKLEY
  • Binding Paperback
  • Edition number 1st
  • Edition First Edition
  • Condition Used - Fine
  • Pages 594
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, N.Y.
  • Publication date 1997
  • Features Bibliography
  • Bookseller's Inventory # 000248E
  • ISBN 9780521574716 / 0521574714
  • Weight 2.2 lbs (1.00 kg)
  • Dimensions 9.9 x 7 x 1.3 in (25.15 x 17.78 x 3.30 cm)
  • Category Science
  • Library of Congress subjects Bootstrap (Statistics)
  • Library of Congress Catalogue Number 96030064
  • Dewey Decimal Code 519.544
  • Quantity available 1

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Reader reviews for BOOTSTRAP METHODS AND THEIR APPLICATION: Cambridge Series in Statistical and Probabilistic Mathematics

From the publisher

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/
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