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Introduction to Bayesian statistics / William M. Bolstad.

By: Hoboken, N.J. : John Wiley, c2007Edition: 2nd edDescription: xxiv, 437 p. : ill. ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780470141151
  • 0470141158
Subject(s): LOC classification:
  • QA279.5 .B65 2007
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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab QA279.5 .B65 2007 1 Available 50583020000125
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.

Questions? Email library@ucar.edu.

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