Bayesian Computation Using MINITAB�

Author:   James Albert (Bowling Green State University)
Publisher:   Cengage Learning, Inc
Edition:   New edition
ISBN:  

9780534517816


Pages:   256
Publication Date:   04 April 1996
Format:   Paperback
Availability:   Awaiting stock   Availability explained


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Bayesian Computation Using MINITAB�


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Overview

Bayesian Computation Using MINITAB contains a set of MINITAB macros that offers an effective medium for computation in Bayesian statistics. This software with accompanying guide is suitable for introductory through advanced-level courses.

Full Product Details

Author:   James Albert (Bowling Green State University)
Publisher:   Cengage Learning, Inc
Imprint:   Duxbury Press
Edition:   New edition
Dimensions:   Width: 18.80cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.427kg
ISBN:  

9780534517816


ISBN 10:   0534517811
Pages:   256
Publication Date:   04 April 1996
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

Table of Contents

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1. An Introduction to MINITAB 2. Simulating Games of Chance 3. Introduction to Inference Using Bayes' Rule 4. Learning About a Proportion 5. Comparing Two Proportions 6. Learning About a Normal Mean 7. Learning About Two Normal Means 8. Learning about Relationships: Regression and Contingency Tables 9. Learning about Discrete Models 10. Learning about Continuous Models 11. General Methods of Summarizing Posterior Distributions APPENDICES: List of MINITAB Macros / Formula Used in the Macros / Index


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