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Essentials of Statistical Inference

  • G. A. Young, Imperial College of Science, Technology and Medicine, London
  • R. L. Smith, University of North Carolina, Chapel Hill
  • Paperback
  • ISBN:9780521548663
  • Publication date:March 2010
  • 236pages
  • 92 exercises
    • Dimensions: 253 x 215 mm
    • Weight: 0.43kg
      39.0097805215486630GB0en_USUSD$
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    This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers basic mathematical theory as well as more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods, and conditional inference.

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