Elementary Bayesian Statistics
The late Gordon Antelman, formerly Professor of Statistics, University of Chicago, US. Edited by Albert Madansky, HGB Alexander Professor of Business Administration and Robert McCulloch, Professor of Econometrics and Statistics, University of Chicago, US
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Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian statistics. It presents methods to assist in the collection, summary and presentation of numerical data.
Contents: Foreword 1. Introduction: Statistics and Probability 2. Some Basic Probability 3. More Basic Probability 4. Bayes’ Theorem, Categorical States 5. Bernoulli Process, Parameter Known 6. Bernoulli and Bayes 7. Poisson Process, Parameter Known 8. Poisson and Bayes 9. Normal Process, Known Parameters 10. Normal Process, Uncertain Parameters 11. Estimation 12. Testing Hypotheses Appendix References Index