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OverviewBayesian 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 DetailsAuthor: 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: 9780534517816ISBN 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 ![]() Table of ContentsReviews1. 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 Author InformationTab Content 6Author Website:Countries AvailableAll regions |