Design And Inference In Finite Population Sampling

Author : A. S. Hedayat
Publisher : Wiley-Interscience
ISBN 13 : 9780471880738
Total Pages : 0 pages
Book Rating : 4.36/5 ( download)

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Download or read book Design and Inference in Finite Population Sampling written by A. S. Hedayat and published by Wiley-Interscience. This book was released on 1991-09-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers a new but essential development in the field of population sampling, namely inference in finite sampling. Offers some important topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques.

Author : Richard Valliant
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 546 pages
Book Rating : 4.80/5 ( download)

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Download or read book Finite Population Sampling and Inference written by Richard Valliant and published by Wiley-Interscience. This book was released on 2000-09-08 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings on this model-based approach are scattered in disparate areas of the statistical literature. Finite Population Sampling and Inference: A Prediction Approach presents for the first time a unified treatment of sample design and estimation for finite populations from a prediction point of view, providing readers with access to a wealth of theoretical results, including many new results and, a variety of practical applications. Geared to theoretical statisticians and practitioners alike, the book discusses all topics from the ground up and clearly explains the relation of the prediction approach to the traditional design-based randomization approach. Key features include: * Special emphasis on linking survey sampling to mainstream statistics through extensive use of general linear models * A liberal use of simulation studies, numerical examples, and exercises illustrating theoretical results * Numerous statistical graphics showing simulation results and properties of estimates * A library of S-Plus computer functions plus six real populations, available via ftp * Over 260 references to finite population sampling, linear models, and other relevant literature

Author : Yves Tille
Publisher : John Wiley & Sons
ISBN 13 : 0470682051
Total Pages : 447 pages
Book Rating : 4.50/5 ( download)

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Download or read book Sampling and Estimation from Finite Populations written by Yves Tille and published by John Wiley & Sons. This book was released on 2020-03-30 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.

Author : Claes-Magnus Cassel
Publisher :
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.44/5 ( download)

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Download or read book Foundations of Inference in Survey Sampling written by Claes-Magnus Cassel and published by . This book was released on 1977-08-31 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic model of sampling from a population with identifiable units; Inference under the fixed population model: the concepts of sufficiency and likelihood; inference under the fixed population model: criteria for judging estimators and strategies; Inference under superpopulation models: design-unbiased estimation; Inference under superpopulation models: prediction approach using tools of classical inference; Inference under superpopulation models: using tools of bayesian inference; Efficiency robust estimation of the finite population mean.

Author : Malay Ghosh
Publisher : Routledge
ISBN 13 : 1351464426
Total Pages : 296 pages
Book Rating : 4.20/5 ( download)

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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 : George A.F. Seber
Publisher : Springer Science & Business Media
ISBN 13 : 3642336566
Total Pages : 78 pages
Book Rating : 4.60/5 ( download)

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Download or read book Adaptive Sampling Designs written by George A.F. Seber and published by Springer Science & Business Media. This book was released on 2012-10-23 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations. Written by two acknowledged experts in the field of adaptive sampling.

Author : Malay Ghosh
Publisher :
ISBN 13 :
Total Pages : 289 pages
Book Rating : 4.02/5 ( download)

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Download or read book Bayesian Methods for Finite Population Sampling written by Malay Ghosh and published by . This book was released on 1997 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Carl-Erik Särndal
Publisher : Springer Science & Business Media
ISBN 13 : 9780387406206
Total Pages : 716 pages
Book Rating : 4.04/5 ( download)

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Download or read book Model Assisted Survey Sampling written by Carl-Erik Särndal and published by Springer Science & Business Media. This book was released on 2003-10-31 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.

Author : Changbao Wu
Publisher : Springer Nature
ISBN 13 : 3030442462
Total Pages : 371 pages
Book Rating : 4.60/5 ( download)

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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.

Author : Lih-Yuan Deng
Publisher :
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.66/5 ( download)

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Download or read book Statistical Inference in Finite Population Sampling when Auxiliary Information is Available written by Lih-Yuan Deng and published by . This book was released on 1984 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: