Bayesian Methods for Finite Population Sampling is popular PDF and ePub book, written by Malay Ghosh in 2021-12-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Bayesian Methods for Finite Population Sampling can be Read Online from any device for your convenience.
Bayesian Methods for Finite Population Sampling Book PDF Summary
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.
Detail Book of Bayesian Methods for Finite Population Sampling PDF
- Author : Malay Ghosh
- Release : 17 December 2021
- Publisher : Routledge
- ISBN : 9781351464420
- Genre : Mathematics
- Total Page : 296 pages
- Language : English
- PDF File Size : 21,7 Mb
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