图书简介
The three parts of this book on survey methodology combinean 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 isassumed, 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.
Part I Basic Concepts and Methods in Survey Sampling.- Chapter 1Basic Concepts in Survey Sampling.- Chapter 2Simple Single-Stage Sampling Methods.- Chapter 3Stratified Sampling and Cluster Sampling.- Chapter 4General Theory and Methods of Unequal Probability Sampling.- Chapter 5Model-Based Prediction and Model-Assisted Estimation.- Part II Advanced Topics on Analysis of Probability Survey Samples.- Chapter 6 Calibration Weighting and Estimation.-Chapter 7Regression Analysis and Estimating Equations.- Chapter 8Empirical Likelihood Methods.- Chapter 9Methods for Handling Missing Data.- Chapter 10Resampling and Replication Methods.- Chapter 11Bayesian Empirical Likelihood Methods.-Part III Practical Issues and Special Topics in Survey Sampling.- Chapter12 Area Frame Household Surveys.- Chapter 13Telephone and Web Surveys.- Chapter 14Natural Resource Inventory Surveys.- Chapter 15Adaptive and Network Surveys.- Chapter 16Dual Frame and Multiple Frame Surveys.- Chapter 17Non-Probability Survey Samples.- References.- Appendix.- Index.
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