Bayesian Methods for Finite Population Sampling

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CRC Press, Jun 1, 1997 - Mathematics - 296 pages
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Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
 

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Contents

A noninformative Bayesian approach
21
Extensions of the Polya posterior
61
Empirical Bayes estimation
161
Hierarchical Bayes estimation
221
References
275
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