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Introduction to Bayesian statistics / William M. Bolstad.

By: Bolstad, William M, 1943-.
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 Current location Call number Copy number Status Date due Item holds
BOOK BOOK Foothills Lab QA279.5 .B65 2007 (Browse shelf) 1 Available
BOOK BOOK Mesa Lab QA279.5 .B65 2007 (Browse shelf) 2 Available
Total holds: 0

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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