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Introduction to Bayesian statistics /

by Bolstad, William M.
Publisher: Hoboken, N.J. : John Wiley, c2007Edition: 2nd ed.Description: xxiv, 437 p. : ill. ; 25 cm.ISBN: 9780470141151; 0470141158.Subject(s): Bayesian statistical decision theory | Bayes-Entscheidungstheorie
Contents:
Introduction to statistical science -- Scientific data gathering -- Displaying and summarizing data -- Logic, probability, and uncertainty -- Discrete random variables -- Bayesian inference for discrete random variables -- Continuous random variables -- Bayesian inference for binomial proportion -- Comparing Bayesian and frequentist inferences for proportion -- Bayesian inference for poisson -- Bayesian inference for normal mean -- Comparing Bayesian and frequentist inferences for mean -- Bayesian inference for difference between means -- Bayesian inference for single linear regression -- Bayesian inference for standard deviation -- Robust Bayesian methods.
Summary: Covers the topics typically found in an introductory statistics book-but from a Bayesian perspective-giving readers an advantage as they enter fields where statistics is used.
Item type Location Call number Copy Status Date due
BOOK BOOK Foothills Lab QA279.5 .B65 2007 (Browse shelf) 1 Available
BOOK BOOK Mesa Lab QA279.5 .B65 2007 (Browse shelf) 2 Available

Includes bibliographical references (p. 431-432) and index.

Introduction to statistical science -- Scientific data gathering -- Displaying and summarizing data -- Logic, probability, and uncertainty -- Discrete random variables -- Bayesian inference for discrete random variables -- Continuous random variables -- Bayesian inference for binomial proportion -- Comparing Bayesian and frequentist inferences for proportion -- Bayesian inference for poisson -- Bayesian inference for normal mean -- Comparing Bayesian and frequentist inferences for mean -- Bayesian inference for difference between means -- Bayesian inference for single linear regression -- Bayesian inference for standard deviation -- Robust Bayesian methods.

Covers the topics typically found in an introductory statistics book-but from a Bayesian perspective-giving readers an advantage as they enter fields where statistics is used.

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