Bayesian Methods for Finite Population Sampling
Dec 2021 · Routledge
Ebook
296
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About this ebook
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.
About the author
Malay Ghosh (Alcon Laboratories, Forth Worth, Texas, USA) (Author) , Glen Meeden (University of Minessota, Minneapolis, MN) (Author)
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