Hardback
Elementary Bayesian Statistics
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.
More Information
Critical Acclaim
Contents
More Information
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.
Bayesian statistics are becoming an increasingly important and more frequently used method for analysing statistical data. The author defines concepts and methods with a variety of examples and uses a stage-by-stage approach to coach the reader through the applied examples. Also included are a wide range of problems to challenge the reader and the book makes extensive use of Minitab to apply computational techniques to statistical problems. Issues covered include probability, Bayes’s Theorem and categorical states, frequency, the Bernoulli process and Poisson process, estimation, testing hypotheses and the normal process with known parameters and uncertain parameters.
Elementary Bayesian Statistics will be an essential resource for students as a supplementary text in traditional statistics courses. It will also be welcomed by academics, researchers and econometricians wishing to know more about Bayesian statistics.
Bayesian statistics are becoming an increasingly important and more frequently used method for analysing statistical data. The author defines concepts and methods with a variety of examples and uses a stage-by-stage approach to coach the reader through the applied examples. Also included are a wide range of problems to challenge the reader and the book makes extensive use of Minitab to apply computational techniques to statistical problems. Issues covered include probability, Bayes’s Theorem and categorical states, frequency, the Bernoulli process and Poisson process, estimation, testing hypotheses and the normal process with known parameters and uncertain parameters.
Elementary Bayesian Statistics will be an essential resource for students as a supplementary text in traditional statistics courses. It will also be welcomed by academics, researchers and econometricians wishing to know more about Bayesian statistics.
Critical Acclaim
‘A thorough and easily accessible introduction to the theory and practical application of Bayesian statistics.’
– Business Horizons
‘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
– Business Horizons
‘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
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