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Essentials of statistical inference

By: Young, G. A.
Contributor(s): Smith, R. L.
Material type: materialTypeLabelBookSeries: Cambridge series in statistical and probabilistic mathematics,16. Publisher: USA Cambridge University Press 2005Description: x, 225 p.ISBN: 9780521839716.Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.5 Summary: 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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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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