Bayesian Methods For Finite Population Sampling PDF Download
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Author | : Malay Ghosh |
Publisher | : Routledge |
Total Pages | : 296 |
Release | : 2021-12-17 |
Genre | : Mathematics |
ISBN | : 1351464426 |
Download Bayesian Methods for Finite Population Sampling Book in PDF, ePub and Kindle
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.
Author | : Malay Ghosh |
Publisher | : CRC Press |
Total Pages | : 304 |
Release | : 1997-06-01 |
Genre | : Mathematics |
ISBN | : 9780412987717 |
Download Bayesian Methods for Finite Population Sampling Book in PDF, ePub and Kindle
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.
Author | : Katherine Rose St. Clair |
Publisher | : |
Total Pages | : 346 |
Release | : 2004 |
Genre | : |
ISBN | : |
Download A Bayesian Method for Using Mean Constraints in Finite Population Sampling Book in PDF, ePub and Kindle
Author | : Borek Puza |
Publisher | : ANU Press |
Total Pages | : 698 |
Release | : 2015-10-01 |
Genre | : Mathematics |
ISBN | : 1921934263 |
Download Bayesian Methods for Statistical Analysis Book in PDF, ePub and Kindle
Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
Author | : Jaroslav Hájek |
Publisher | : |
Total Pages | : 270 |
Release | : 1981 |
Genre | : Mathematics |
ISBN | : |
Download Sampling from a Finite Population Book in PDF, ePub and Kindle
Basic ideas and concepts; Methods of sampling; Methods of estimation.
Author | : David Bruce Nelson |
Publisher | : |
Total Pages | : 260 |
Release | : 1998 |
Genre | : |
ISBN | : |
Download Stepwise Bayes Methods for Incorporating Prior Information in Finite Population Sampling Book in PDF, ePub and Kindle
Author | : Zhiqing Xu |
Publisher | : |
Total Pages | : 112 |
Release | : 2014 |
Genre | : |
ISBN | : |
Download Bayesian Inference of a Finite Population Under Selection Bias Book in PDF, ePub and Kindle
Abstract: Length-biased sampling method gives the samples from a weighted distribution. With the underlying distribution of the population, one can estimate the attributes of the population by converting the weighted samples. In this thesis, generalized gamma distribution is considered as the underlying distribution of the population and the inference of the weighted distribution is made. Both the models with known and unknown finite population size are considered. In the modes with known finite population size, maximum likelihood estimation and bootstrapping methods are attempted to derive the distributions of the parameters and population mean. For the sake of comparison, both the models with and without the selection bias are built. The computer simulation results show the model with selection bias gives better prediction for the population mean. In the model with unknown finite population size, the distributions of the population size as well as the sample complements are derived. Bayesian analysis is performed using numerical methods. Both the Gibbs sampler and random sampling method are employed to generate the parameters from their joint posterior distribution. The fitness of the size-biased samples are checked by utilizing conditional predictive ordinate.
Author | : Mark Sebastián Hamner |
Publisher | : |
Total Pages | : 144 |
Release | : 2000 |
Genre | : Bayesian statistical decision theory |
ISBN | : |
Download Bayesian Point Estimates in Finite Population Sampling Book in PDF, ePub and Kindle
Author | : Dal-Ho Kim |
Publisher | : |
Total Pages | : 244 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Robust Bayesian Inference in Finite Population Sampling Book in PDF, ePub and Kindle
Author | : Radu C. Lazar |
Publisher | : |
Total Pages | : 214 |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Computations for Bayesian Procedures Under Linear Constraints in Finite Population Sampling and Imprecise Probability Book in PDF, ePub and Kindle