Elementary Bayesian Statistics

Gordon Antelman , Albert Madansky , Robert McCulloch

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

Hardback £111.00 on-line price £99.90

Description
‘I will consider using this book the next time I teach mathematical statistics because of this relatively balanced treatment of non-Bayesian and Bayesian methods. I hope that other teachers of mathematical statistics and statistical theory might also explore Antelman’s contribution to the statistics education literature.’
– Thomas H. Short, The American Statistician

‘. . . the book is a well-organised, coherent, and intuitive study of Bayesian statistics, enlivened by the author’s historical anecdotes about the development of the field and the personalities involved. . . . as an accessible supplementary to a standard economic statistics text, Elementary Bayesian Statistics can be highly recommended.’
– Gary Koop, The Economic Journal

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
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