Introduction to Bayesian statistics / William M. Bolstad.

By: Bolstad, William M, 1943-
Material type: TextTextLanguage: English Publisher: Hoboken, N.J. : John Wiley, c2007Edition: 2nd edDescription: xxiv, 437 p. : ill. ; 25 cmISBN: 9780470141151; 0470141158Subject(s): Bayesian statistical decision theoryDDC classification: 519.542 LOC classification: QA279.5 | .B65 2007Online resources: Table of contents only | Contributor biographical information | Publisher description | WorldCat Details | E-book Fulltext
Contents:
Table of 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: 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.
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Online version:
Bolstad, William M., 1943-
Introduction to Bayesian statistics.
Hoboken, N.J. : John Wiley, c2007
(OCoLC)654593316

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

Table of 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.

Applied Statistics

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