Contents:

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.
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.

Item type | Location | Call number | Copy | Status | Date due |
---|---|---|---|---|---|

BOOK | Foothills Lab | QA279.5 .B65 2007 (Browse shelf) | 1 | Checked out | 07/13/2016 |

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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