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Weighing the Odds: A Course in Probability and Statistics
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Weighing the Odds: A Course in Probability and Statistics Paperback - 2001

by David Williams


From the publisher

In this lively look at both subjects, David Williams convinces Mathematics students of the intrinsic interest of Statistics and Probability, and Statistics students that the language of Mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasizing Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modeling. C or WinBUGS code is provided for computational examples and simulations.

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  • Title Weighing the Odds: A Course in Probability and Statistics
  • Author David Williams
  • Binding Paperback
  • Edition [ Edition: first
  • Pages 568
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, New Delhi
  • Date 2001-08-02
  • ISBN 9780521006187 / 052100618X
  • Weight 2.1 lbs (0.95 kg)
  • Dimensions 9.5 x 6.7 x 1.2 in (24.13 x 17.02 x 3.05 cm)
  • Library of Congress subjects Probabilities, Mathematical statistics
  • Library of Congress Catalog Number 2001025435
  • Dewey Decimal Code 519

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Citations

  • Choice, 03/01/2002, Page 1276
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Weighing the Odds: A Course in Probability and Statistics
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Weighing the Odds: A Course in Probability and Statistics

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Weighing the Odds: A Course in Probability and Statistics
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Weighing the Odds: A Course in Probability and Statistics

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Paperback / softback. New. A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.
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