Bayesian Variable Selection with Pseudo Variables and Random Group Variance Estimators for Survey Sampling

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Publisher :
ISBN 13 :
Total Pages : 109 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Bayesian Variable Selection with Pseudo Variables and Random Group Variance Estimators for Survey Sampling by : Qi Tang

Download or read book Bayesian Variable Selection with Pseudo Variables and Random Group Variance Estimators for Survey Sampling written by Qi Tang and published by . This book was released on 2010 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Survey Data

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Publisher : John Wiley & Sons
ISBN 13 : 0470864397
Total Pages : 398 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Analysis of Survey Data by : R. L. Chambers

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.

Maximum Likelihood Estimation for Sample Surveys

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Publisher : CRC Press
ISBN 13 : 1420011359
Total Pages : 374 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Maximum Likelihood Estimation for Sample Surveys by : Raymond L. Chambers

Download or read book Maximum Likelihood Estimation for Sample Surveys written by Raymond L. Chambers and published by CRC Press. This book was released on 2012-05-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to

Sampling Theory and Practice

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

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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.

Introduction to Variance Estimation

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Publisher : Springer Science & Business Media
ISBN 13 : 0387350993
Total Pages : 462 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Introduction to Variance Estimation by : Kirk Wolter

Download or read book Introduction to Variance Estimation written by Kirk Wolter and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference for the survey researcher who is faced with the problem of estimating variances for real survey data.

Sample Surveys: Inference and Analysis

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Publisher : Morgan Kaufmann
ISBN 13 : 0080963544
Total Pages : 667 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Sample Surveys: Inference and Analysis by :

Download or read book Sample Surveys: Inference and Analysis written by and published by Morgan Kaufmann. This book was released on 2009-09-02 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practice Covers a wide variety of diverse applications Comprehensive bibliography

Contributions to Survey Sampling and Applied Statistics

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Publisher : Academic Press
ISBN 13 : 1483260887
Total Pages : 347 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Contributions to Survey Sampling and Applied Statistics by : H. O. Hartley

Download or read book Contributions to Survey Sampling and Applied Statistics written by H. O. Hartley and published by Academic Press. This book was released on 2014-05-10 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributions to Survey Sampling and Applied Statistics: Papers in Honor of H. O. Hartley covers the significant advances in survey sampling, modeling, and applied statistics. This book is organized into five parts encompassing 20 chapters. The opening part looks into some aspects of statistics, sampling, randomization, predictive estimation, and internal congruency. This part also considers the properties of variance estimation for a specified multiple frame survey design and some sampling designs involving unequal probabilities of selection and robust estimation of a finite population total. The next parts present the analysis and the theoretical and practical aspects of linear models, as well as the applications of time series analysis. These topics are followed by discussions of the testing for outliers in linear regression; the robustness of location estimators; and completeness comparisons among sample sequences. The closing part deals with the properties of norm estimators in regression and geometric programming. This part also provides tables of the normal conditioned on t-distribution. This book will prove useful to mathematicians and statisticians.

Introduction to Survey Sampling

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Publisher : SAGE
ISBN 13 : 9780803921269
Total Pages : 100 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Introduction to Survey Sampling by : Graham Kalton

Download or read book Introduction to Survey Sampling written by Graham Kalton and published by SAGE. This book was released on 1983-09 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.

Introduction to Survey Sampling

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Publisher : SAGE Publications
ISBN 13 : 1544338570
Total Pages : 185 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Introduction to Survey Sampling by : Graham Kalton

Download or read book Introduction to Survey Sampling written by Graham Kalton and published by SAGE Publications. This book was released on 2020-04 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification (pre and post), clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.

Unified Theory and Strategies of Survey Sampling

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Publisher : North Holland
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Unified Theory and Strategies of Survey Sampling by : Arijit Chaudhuri

Download or read book Unified Theory and Strategies of Survey Sampling written by Arijit Chaudhuri and published by North Holland. This book was released on 1988 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample survey is universally recognized as a vital method of data collection to derive reliable statistics on a variety of topics. This volume is mainly concerned with the foundational aspects of inference and the description and comparison of various sampling strategies.