Bayesian Methods For Finite Population Sampling

Download Bayesian Methods For Finite Population Sampling full books in PDF, epub, and Kindle. Read online Bayesian Methods For Finite Population Sampling ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Bayesian Methods for Finite Population Sampling

Author : Malay Ghosh
Publisher : Routledge
ISBN 13 : 1351464426
Total Pages : 296 pages
Book Rating : 4.3/5 (514 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Methods for Finite Population Sampling by : Malay Ghosh

Download or read book Bayesian Methods for Finite Population Sampling written by Malay Ghosh and published by Routledge. This book was released on 2021-12-17 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bayesian Methods for Finite Population Sampling

Author : Malay Ghosh
Publisher : CRC Press
ISBN 13 : 9780412987717
Total Pages : 304 pages
Book Rating : 4.9/5 (877 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Methods for Finite Population Sampling by : Malay Ghosh

Download or read book Bayesian Methods for Finite Population Sampling written by Malay Ghosh and published by CRC Press. This book was released on 1997-06-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Bayesian Method for Using Mean Constraints in Finite Population Sampling

Author : Katherine Rose St. Clair
Publisher :
ISBN 13 :
Total Pages : 346 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis A Bayesian Method for Using Mean Constraints in Finite Population Sampling by : Katherine Rose St. Clair

Download or read book A Bayesian Method for Using Mean Constraints in Finite Population Sampling written by Katherine Rose St. Clair and published by . This book was released on 2004 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Methods for Statistical Analysis

Author : Borek Puza
Publisher : ANU Press
ISBN 13 : 1921934263
Total Pages : 698 pages
Book Rating : 4.9/5 (219 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Methods for Statistical Analysis by : Borek Puza

Download or read book Bayesian Methods for Statistical Analysis written by Borek Puza and published by ANU Press. This book was released on 2015-10-01 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Sampling from a Finite Population

Author : Jaroslav Hájek
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Sampling from a Finite Population by : Jaroslav Hájek

Download or read book Sampling from a Finite Population written by Jaroslav Hájek and published by . This book was released on 1981 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic ideas and concepts; Methods of sampling; Methods of estimation.

Stepwise Bayes Methods for Incorporating Prior Information in Finite Population Sampling

Author : David Bruce Nelson
Publisher :
ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Stepwise Bayes Methods for Incorporating Prior Information in Finite Population Sampling by : David Bruce Nelson

Download or read book Stepwise Bayes Methods for Incorporating Prior Information in Finite Population Sampling written by David Bruce Nelson and published by . This book was released on 1998 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Inference of a Finite Population Under Selection Bias

Author : Zhiqing Xu
Publisher :
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4.:/5 (916 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Inference of a Finite Population Under Selection Bias by : Zhiqing Xu

Download or read book Bayesian Inference of a Finite Population Under Selection Bias written by Zhiqing Xu and published by . This book was released on 2014 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bayesian Point Estimates in Finite Population Sampling

Author : Mark Sebastián Hamner
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.:/5 (451 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Point Estimates in Finite Population Sampling by : Mark Sebastián Hamner

Download or read book Bayesian Point Estimates in Finite Population Sampling written by Mark Sebastián Hamner and published by . This book was released on 2000 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robust Bayesian Inference in Finite Population Sampling

Author : Dal-Ho Kim
Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.:/5 (328 download)

DOWNLOAD NOW!

Book Synopsis Robust Bayesian Inference in Finite Population Sampling by : Dal-Ho Kim

Download or read book Robust Bayesian Inference in Finite Population Sampling written by Dal-Ho Kim and published by . This book was released on 1994 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computations for Bayesian Procedures Under Linear Constraints in Finite Population Sampling and Imprecise Probability

Author : Radu C. Lazar
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Computations for Bayesian Procedures Under Linear Constraints in Finite Population Sampling and Imprecise Probability by : Radu C. Lazar

Download or read book Computations for Bayesian Procedures Under Linear Constraints in Finite Population Sampling and Imprecise Probability written by Radu C. Lazar and published by . This book was released on 2005 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Some Admissible Decision Rules in Finite Population Sampling

Author : Bisser Vladimirov Roussanov
Publisher :
ISBN 13 :
Total Pages : 276 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Some Admissible Decision Rules in Finite Population Sampling by : Bisser Vladimirov Roussanov

Download or read book Some Admissible Decision Rules in Finite Population Sampling written by Bisser Vladimirov Roussanov and published by . This book was released on 1996 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Generalisation of Bayesian Inference

Author : Raymond Louis Hinde
Publisher :
ISBN 13 :
Total Pages : 151 pages
Book Rating : 4.:/5 (222 download)

DOWNLOAD NOW!

Book Synopsis A Generalisation of Bayesian Inference by : Raymond Louis Hinde

Download or read book A Generalisation of Bayesian Inference written by Raymond Louis Hinde and published by . This book was released on 1987 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Statistics, A Review

Author : D. V. Lindley
Publisher : SIAM
ISBN 13 : 9780898710021
Total Pages : 100 pages
Book Rating : 4.7/5 (1 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Statistics, A Review by : D. V. Lindley

Download or read book Bayesian Statistics, A Review written by D. V. Lindley and published by SIAM. This book was released on 1972-01-31 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of those statistical ideas that use a probability distribution over parameter space. The first part describes the axiomatic basis in the concept of coherence and the implications of this for sampling theory statistics. The second part discusses the use of Bayesian ideas in many branches of statistics.

A Bayesian Approach to Two Phase Sampling from Finite and Infinite Populations

Author : Charles D. Palit
Publisher :
ISBN 13 :
Total Pages : 452 pages
Book Rating : 4.:/5 (89 download)

DOWNLOAD NOW!

Book Synopsis A Bayesian Approach to Two Phase Sampling from Finite and Infinite Populations by : Charles D. Palit

Download or read book A Bayesian Approach to Two Phase Sampling from Finite and Infinite Populations written by Charles D. Palit and published by . This book was released on 1970 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sampling Theory and Practice

Author : Changbao Wu
Publisher : Springer Nature
ISBN 13 : 3030442462
Total Pages : 371 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Sampling Theory and Practice by : Changbao Wu

Download or read book Sampling Theory and Practice written by Changbao Wu and published by Springer Nature. This book was released on 2020-05-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

Bayesian Estimation of Finite Population Quantities from Spatially Correlated Data Under Ignorable and Nonignorable Survey Designs

Download Bayesian Estimation of Finite Population Quantities from Spatially Correlated Data Under Ignorable and Nonignorable Survey Designs PDF Online Free

Author : Alec Michael Chan-Golston
Publisher :
ISBN 13 :
Total Pages : 107 pages
Book Rating : 4.:/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Estimation of Finite Population Quantities from Spatially Correlated Data Under Ignorable and Nonignorable Survey Designs by : Alec Michael Chan-Golston

Download or read book Bayesian Estimation of Finite Population Quantities from Spatially Correlated Data Under Ignorable and Nonignorable Survey Designs written by Alec Michael Chan-Golston and published by . This book was released on 2020 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data which is geographically referenced has become increasingly common in many fields of study, such as public health, education, forestry, medicine, and agriculture. When data is sampled from a population, there is often knowledge pertaining to the units not sampled, such as a total count and simple demographics. This knowledge can be leveraged to estimate finite population quantities such as the population total or mean, using design or model-based estimators. However, it is unknown how these estimators perform in the presence of spatial correlation, that is, when the outcome sampled is assumed to be a partial-realization of a spatial process. This dissertation first presents an analysis predicting store patronage and fruit and vegetable expenditures during a corner store intervention using Bayesian spatial techniques and then presents a brief example of finite population estimation in an ignorable sampling setting. Next a general Bayesian framework is presented that accounts for both study design and spatial association. Under this, posterior samples of finite population quan- tities can be retrieved. This framework is first given under the assumption of an ignorable sampling design and is used to construct four models to account for two-stage designs with spatial dependence. These models are first applied to simulated data and then are used in an analysis of nitrate levels in California groundwater. We find that models accounting for both study design and spatial association perform best. This general framework is then extended to allow for a nonignorable sampling design, specifically to account for missing data patterns seen in reported annual household income in the corner store data. Through this, we are able to construct finite population estimates of the percent of income spent on fruits and vegetables. Such a framework provides a flexible way to account for spatial association and complex study designs in finite populations.

Bayesian Data Analysis, Third Edition

Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman

Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.