298 Pages
by
Routledge
298 Pages
by
Routledge
298 Pages
by
Routledge
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Originally published in 1970; with a second edition in 1989. Empirical Bayes methods use some of the apparatus of the pure Bayes approach, but an actual prior distribution is assumed to generate the data sequence. It can be estimated thus producing empirical Bayes estimates or decision rules.
In this second edition, details are provided of the derivation and the performance of empirical Bayes... Read more
Preface. Notation and abbreviations. 1. Introduction to Bayes and Empirical Bayes Methods 2. Estimation of the Prior Distribution 3. Empirical Bayes Point Estimation 4. Empirical Bayes Point Estimation: Vector Parameters 5. Testing of Hypotheses 6. Bayes and Empirical Bayes Interval Estimation 7. Alternatives to Empirical Bayes 8. Applications of EB methods
Biography
J. S. Maritz, T. Lwin
