{
"item_title" : "Essentials of Statistical Inference",
"item_author" : [" G. A. Young", "R. L. Smith "],
"item_description" : "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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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9780521839716
- ISBN-10: 0521839718
- Publisher: Cambridge University Press
- Publish Date: July 2005
- Dimensions: 10.34 x 7.06 x 0.74 inches
- Shipping Weight: 1.31 pounds
- Page Count: 236
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