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.

Feature

• Comprehensive account of recent developments in sample survey theory and practice
• Discusses?a wide variety of diverse applications
• Comprehensive bibliography

Handbook of Statistics_29A, 1st Edition Part 1. Sampling and Survey Design Introduction to Part 1 Ch. 1. Introduction to Survey Sampling Ch. 2. Sampling with Unequal Probabilities Ch. 3. Two-Phase Sampling Ch. 4. Multiple-Frame Surveys Ch. 5. Designs for Surveys over Time Ch. 6. Sampling of Rare Populations Ch. 7. Design, Conduct, and Analysis of Random-Digit Dialing Surveys Part 2. Survey Processing Introduction to Part 2 Ch. 8. Nonresponse andWeighting Ch. 9. Statistical Data Editing Ch. 10. Imputation and Inference in the Presence of Missing Data Ch. 11. Dealing with Outliers in Survey Data Ch. 12. Measurement Errors in Sample Surveys Ch. 13. Computer Software for Sample Surveys Ch. 14. Record Linkage Ch. 15. Statistical Disclosure Control for Survey Data Part 3. Survey Applications Introduction to Part 3 Ch. 16. Sampling and Estimation in Household Surveys Ch. 17. Sampling and Estimation in Business Surveys Ch. 18. Sampling, Data Collection, and Estimation in Agricultural Surveys Ch. 19. Sampling and Inference in Environmental Surveys Ch. 20. Survey Sampling Methods in Marketing Research: A Review of Telephone, Mall Intercept, Panel, andWeb Surveys Ch. 21. Sample Surveys and Censuses Ch. 22. Opinion and Election Polls Volume 29B: Inference and Analysis Part 4. Alternative Approaches to Inference from Introduction to Part 4 Ch. 23. Model-Based Prediction of Finite Population Totals Ch. 24. Design- and Model-Based Inference for Model Parameters Ch. 25. CalibrationWeighting: Combining Probability Samples and Linear Prediction Models Ch. 26. Estimating Functions and Survey Sampling Ch. 27. Nonparametric and Semiparametric Estimation in Complex Surveys Ch. 28. Resampling Methods in Surveys Ch. 29. Bayesian Developments in Survey Sampling Ch. 30. Empirical Likelihood Methods Part 5. Special Estimation and Inference Problems Ch. 31. Design-based Methods of Estimation for Domains and Small Areas Ch. 32. Model-Based Approach to Small Area Estimation Ch. 33. Design and Analysis of Surveys Repeated over Time Ch. 34. The Analysis of Longitudinal Surveys Ch. 35. Categorical Data Analysis for Simple and Complex Surveys Ch. 36. Inference on Distribution Functions and Quantiles Ch. 37. Scatterplots with Survey Data Part 6. Informative Sampling and Theoretical Aspects Ch. 38. Population-Based Case-Control Studies Ch. 39. Inference under Informative Sampling Ch. 40. Asymptotics in Finite Population Sampling Ch. 41. Some Decision-Theoretic Aspects of Finite Population Sampling