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Author : Xiaoping Hu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (11 download)
Download or read book Bayes Estimators for Finite Population Total and Mean Under Some Specified Prior Distributions written by Xiaoping Hu and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Malay Ghosh
Publisher : Routledge
ISBN 13 : 1351464426
Total Pages : 296 pages
Book Rating : 4.3/5 (514 download)
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.
Author : David Bruce Nelson
Publisher :
ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (319 download)
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:
Author : Katherine Rose St. Clair
Publisher :
ISBN 13 :
Total Pages : 346 pages
Book Rating : 4.:/5 (319 download)
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:
Author : J.S. Maritz
Publisher : CRC Press
ISBN 13 : 1351080113
Total Pages : 296 pages
Book Rating : 4.3/5 (51 download)
Download or read book Empirical Bayes Methods with Applications written by J.S. Maritz and published by CRC Press. This book was released on 2018-01-18 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of assessing the goodness of an empirical Bayes estimator for a given set of prior data. A chapter is devoted to a discussion of alternatives to the empirical Bayes approach and there is also a chapter giving details of several actual applications of empirical Bayes method.
Author : Radu C. Lazar
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (319 download)
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:
Author : R. L. Chambers
Publisher : John Wiley & Sons
ISBN 13 : 0470864397
Total Pages : 398 pages
Book Rating : 4.4/5 (78 download)
Download or read book Analysis of Survey Data written by R. L. Chambers and published by John Wiley & Sons. This book was released on 2003-08-01 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.
Author : Borek Puza
Publisher : ANU Press
ISBN 13 : 1921934263
Total Pages : 698 pages
Book Rating : 4.9/5 (219 download)
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.
Author : Wade H. Shafer
Publisher : Springer Science & Business Media
ISBN 13 : 1461524539
Total Pages : 391 pages
Book Rating : 4.4/5 (615 download)
Download or read book Masters Theses in the Pure and Applied Sciences written by Wade H. Shafer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the though that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemi nation. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 37 (thesis year 1992) a total of 12,549 thesis titles from 25 Canadian and 153 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 37 reports theses submitted in 1992, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.
Author : Shelemyahu Zacks
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (227 download)
Download or read book Bayes Equivariant Estimators of the Variance of a Finite Population for Exponential Priors written by Shelemyahu Zacks and published by . This book was released on 1978 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present paper presents the derivation of the Bayes equivariant estimator of the variance of a finite population for prior i.i.d. exponential random variables and quadratic loss. The forms of the Bayes equivariant estimator strongly depends on the prior distribution assumed. In a previous paper the form of the Bayes equivariant estimator was derived for normal i.i.d. random variables. This model yields a relatively simple result. The present paper is therefore devoted to the study of the form of the estimator when the prior distribution is considerably different from a normal distribution. Numerical illustrations are provided too. (Author).
Author : Bisser Vladimirov Roussanov
Publisher :
ISBN 13 :
Total Pages : 276 pages
Book Rating : 4.:/5 (319 download)
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:
Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)
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.
Author : J. S. Maritz
Publisher :
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4.F/5 ( download)
Download or read book Empirical Bayes Methods written by J. S. Maritz and published by . This book was released on 1970 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Richard E. Barlow
Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (15 download)
Download or read book Preposterior Analysis of Bayes Estimators of Mean Life, I written by Richard E. Barlow and published by . This book was released on 1980 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: In considering life test experiments from a behavioristic Bayes point of view, we may speculate on the effect of model misspecification on the posterior mean under alternative stopping rules. Of course, under the life distribution model, we expect the mean of the posterior to equal the mean of the prior. However, if we think the model may have been misspecified, we would no longer expect this equality. We show that for Bayes estimators of mean life under the exponential model and general priors on mean life, we expect, based on a preposterior analysis, that the mean of the posterior will increase with sample size when the true model has an increasing failure rate and certain fixed stopping rules are used. Also, we show that for Bayes estimators of mean life based on the natural conjugate prior for the exponential model and complete samples, the Bayes risk is less when the coefficient of variations is less than for the exponential model. Recommendations relative to use of life test sampling plans based on an exponential model are made. (Author).
Author : James Victor Zidek
Publisher :
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.F/5 ( download)
Download or read book On the Admissibility of Formal Bayes Estimators written by James Victor Zidek and published by . This book was released on 1967 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is concerned with the admissibility of formal Bayes estimators. Loss is assumed to be squared error. Positive results concern the case where the underlying distribution is known up to a single unknown parameter which is assumed to lie in a possibly infinite subinterval of the real line. Sufficient conditions are given for the almost admissibility, with respect to a prior measure pi, of formal Bayes estimators (of real functions of that parameter) obtained from pi. These conditions are reasonably explicit and give some new results in examples involving a member of the one parameter exponential family and the case of a single unknown location parameter. Two negative results are obtained. Both involve distributions (the normal and the exponential) with unknown location and scale parameters. It is shown that certain best affine invariant estimators are inadmissible. As an aid in obtaining one of these results, a representation, under fairly general conditions, of Bayes invariant procedures, in terms of Haar measure, is obtained. (Author).
Author : Raghunath Arnab
Publisher : Academic Press
ISBN 13 : 0128118970
Total Pages : 932 pages
Book Rating : 4.1/5 (281 download)
Download or read book Survey Sampling Theory and Applications written by Raghunath Arnab and published by Academic Press. This book was released on 2017-03-08 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises
Author : J.K. Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 0387226540
Total Pages : 311 pages
Book Rating : 4.3/5 (872 download)
Download or read book Bayesian Nonparametrics written by J.K. Ghosh and published by Springer Science & Business Media. This book was released on 2006-05-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.
