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A Comprehensive Textbook on Sample Surveys

A Comprehensive Textbook on Sample Surveys
Author: Arijit Chaudhuri
Publisher: Springer Nature
Total Pages: 273
Release: 2022-05-08
Genre: Mathematics
ISBN: 9811914184

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As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book focuses on a wide range of topics which included Bayesian and Empirical Bayesian approaches, complex procedures of stratification, clustering, sampling in multi stages and phases, linear and non-linear estimation of parameters, small area estimation by spatial and chronological modelling, network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling.


Model Assisted Survey Sampling

Model Assisted Survey Sampling
Author: Carl-Erik Särndal
Publisher: Springer Science & Business Media
Total Pages: 716
Release: 2003-10-31
Genre: Mathematics
ISBN: 9780387406206

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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.


Survey Sampling

Survey Sampling
Author: Arijit Chaudhuri
Publisher: CRC Press
Total Pages: 241
Release: 2018-09-28
Genre: Mathematics
ISBN: 149877475X

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This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.


Survey sampling

Survey sampling
Author: Leslie Kish
Publisher:
Total Pages: 643
Release: 1965
Genre:
ISBN:

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Sample Surveys: Design, Methods and Applications

Sample Surveys: Design, Methods and Applications
Author:
Publisher: Elsevier
Total Pages: 723
Release: 2009-08-31
Genre: Mathematics
ISBN: 0080932215

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This new handbook 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 29A 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 29B 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 Discusses a wide variety of diverse applications Comprehensive bibliography


Sampling Statistics

Sampling Statistics
Author: Wayne A. Fuller
Publisher: John Wiley & Sons
Total Pages: 321
Release: 2011-09-20
Genre: Mathematics
ISBN: 1118211111

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Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. Sampling Statistics presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples. The book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model. The author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of "general use" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study. Sampling Statistics is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.


Sampling Theory and Practice

Sampling Theory and Practice
Author: Changbao Wu
Publisher: Springer Nature
Total Pages: 371
Release: 2020-05-15
Genre: Social Science
ISBN: 3030442462

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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.


Collecting, Managing, and Assessing Data Using Sample Surveys

Collecting, Managing, and Assessing Data Using Sample Surveys
Author: Peter Stopher
Publisher: Cambridge University Press
Total Pages: 561
Release: 2012-01-19
Genre: Business & Economics
ISBN: 0521863112

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A step-by-step guide to the design and implementation of surveys.


Sample Surveys: Inference and Analysis

Sample Surveys: Inference and Analysis
Author:
Publisher: Morgan Kaufmann
Total Pages: 667
Release: 2009-09-02
Genre: Mathematics
ISBN: 0080963544

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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


Sample Survey Principles and Methods

Sample Survey Principles and Methods
Author: Vic Barnett
Publisher: Oxford University Press, USA
Total Pages: 173
Release: 1991
Genre: Sampling (Statistics)
ISBN: 9780195209259

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Modern society has seen a proliferation of surveys and opinion polls based on the techniques of sampling. The results are often widely publicized and cited as a genuine reflection of the populations they are claimed to represent. For this reason, it is vitally important to understand the principles and methods used in survey sampling and the pitfalls that commonly occur. This book provides a concise yet comprehensive treatment of the science of sample surveys. It addresses both statistical methodology and nonstatistical considerations such as practical access to the population of interest, the social acceptability of the inquiry, and personal bias in the formulation and response to questionnaires. In addition to statisticians, the book is intended for investigators in all fields that use surveys in their work, including business, medicine, psychology, sociology, political science, and journalism. It may also serve as a text for a short course for advanced undergraduate or graduate students.