Authors:
- Provides rich materials for teaching, research and practice in survey sampling
- Includes ample exercise problems to facilitate teaching and learning
- Integrates R packages that cover the book's topics for easy implementation
- Bridges the gap between survey data analysis and statistical methods in other fields
- Serves as a monograph for researchers and practitioners, and a textbook for upper-level undergraduates or graduate students
Part of the book series: ICSA Book Series in Statistics (ICSABSS)
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Table of contents (17 chapters)
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Front Matter
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Basic Concepts and Methods in Survey Sampling
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Front Matter
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Advanced Topics on Analysis of Probability Survey Samples
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Front Matter
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Practical Issues and Special Topics in Survey Sampling
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Front Matter
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About this book
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 threedecades. 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.
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Authors and Affiliations
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Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada
Changbao Wu, Mary E. Thompson
About the authors
Changbao Wu is Professor of Statistics at the University of Waterloo. He has done extensive research on the design and analysis of complex surveys. He received the CRM-SSC Prize in Statistics in 2012 and was named Fellow of ASA and Elected Member of ISI in 2014. He has served as an Associate Editor for several statistical journals including Biometrika, Journal of the American Statistical Association and The Canadian Journal of Statistics.
Mary E. Thompson is Distinguished Professor Emerita in Statistics at the University of Waterloo. She is a leading expert on survey methodology and the author of the book Theory of Sample Surveys (1997). She has received numerous awards and honors including the Gold Medal of Statistical Society of Canada and Fellow of the Royal Society of Canada.
Bibliographic Information
Book Title: Sampling Theory and Practice
Authors: Changbao Wu, Mary E. Thompson
Series Title: ICSA Book Series in Statistics
DOI: https://doi.org/10.1007/978-3-030-44246-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-44244-6Published: 16 May 2020
Softcover ISBN: 978-3-030-44392-4Published: 16 May 2021
eBook ISBN: 978-3-030-44246-0Published: 15 May 2020
Series ISSN: 2199-0980
Series E-ISSN: 2199-0999
Edition Number: 1
Number of Pages: XX, 365
Number of Illustrations: 4 b/w illustrations
Topics: Statistics for Social Sciences, Humanities, Law, Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance