Sampling theory and practice /

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Bibliographic Details
Author / Creator:	Wu, Changbao.
Imprint:	Cham : Springer, 2020.
Description:	1 online resource (371 p.).
Language:	English
Series:	ICSA Book Series in Statistics ICSA book series in statistics.
Subject:	Sampling (Statistics) Sampling (Statistics) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12605374

Hidden Bibliographic Details
Other authors / contributors:	Thompson, M. E. (Mary Elinore), 1944-
ISBN:	9783030442460 3030442462 3030442446 9783030442446
Digital file characteristics:	text file PDF
Notes:	Description based upon print version of record. Includes bibliographical references and index.
Summary:	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.
Other form:	Print version: Wu, Changbao Sampling Theory and Practice Cham : Springer,c2020 9783030442446
Standard no.:	10.1007/978-3-030-44246-0

Table of Contents:

Part I Basic Concepts and Methods in Survey Sampling
Chapter 1 Basic Concepts in Survey Sampling
Chapter 2 Simple Single-Stage Sampling Methods
Chapter 3 Stratified Sampling and Cluster Sampling
Chapter 4 General Theory and Methods of Unequal Probability Sampling
Chapter 5 Model-Based Prediction and Model-Assisted Estimation
Part II Advanced Topics on Analysis of Probability Survey Samples
Chapter 6 Calibration Weighting and Estimation
Chapter 7 Regression Analysis and Estimating Equations
Chapter 8 Empirical Likelihood Methods
Chapter 9 Methods for Handling Missing Data
Chapter 10 Resampling and Replication Methods
Chapter 11 Bayesian Empirical Likelihood Methods
Part III Practical Issues and Special Topics in Survey Sampling
Chapter 12 Area Frame Household Surveys
Chapter 13 Telephone and Web Surveys
Chapter 14 Natural Resource Inventory Surveys
Chapter 15 Adaptive and Network Surveys
Chapter 16 Dual Frame and Multiple Frame Surveys
Chapter 17 Non-Probability Survey Samples
References
Appendix
Index.

Sampling theory and practice /

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