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. It presents a comprehensive account of recent developments in sample survey theory and practice. It discusses a wide variety of diverse applications. It features comprehensive bibliography.
Show moreThis 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. It presents a comprehensive account of recent developments in sample survey theory and practice. It discusses a wide variety of diverse applications. It features comprehensive bibliography.
Show moreCovers the latest developments in sample survey theory and practice.
Part 1. Sampling and Survey Design
Introduction to Part 1
1. Introduction to Survey Sampling
2. Sampling with Unequal Probabilities
3. Two-Phase Sampling
4. Multiple-Frame Surveys
5. Designs for Surveys over Time
6. Sampling of Rare Populations
7. Design, Conduct, and Analysis of Random-Digit Dialing
Surveys
Part 2. Survey Processing
Introduction to Part 2
8. Nonresponse andWeighting
9. Statistical Data Editing
10. Imputation and Inference in the Presence of Missing Data
11. Dealing with Outliers in Survey Data
12. Measurement Errors in Sample Surveys
13. Computer Software for Sample Surveys
14. Record Linkage
15. Statistical Disclosure Control for Survey Data
Part 3. Survey Applications
Introduction to Part 3
16. Sampling and Estimation in Household Surveys
17. Sampling and Estimation in Business Surveys
18. Sampling, Data Collection, and Estimation in Agricultural
Surveys
19. Sampling and Inference in Environmental Surveys
20. Survey Sampling Methods in Marketing Research: A Review of
Telephone, Mall Intercept, Panel, andWeb Surveys
21. Sample Surveys and Censuses
22. Opinion and Election Polls
Volume 29B: Inference and Analysis
Part 4. Alternative Approaches to Inference from
Introduction to Part 4
23. Model-Based Prediction of Finite Population Totals
24. Design- and Model-Based Inference for Model Parameters
25. CalibrationWeighting: Combining Probability Samples and Linear
Prediction Models
26. Estimating Functions and Survey Sampling
27. Nonparametric and Semiparametric Estimation in Complex
Surveys
28. Resampling Methods in Surveys
29. Bayesian Developments in Survey Sampling
30. Empirical Likelihood Methods
Part 5. Special Estimation and Inference Problems
31. Design-based Methods of Estimation for Domains and Small
Areas
32. Model-Based Approach to Small Area Estimation
33. Design and Analysis of Surveys Repeated over Time
34. The Analysis of Longitudinal Surveys
35. Categorical Data Analysis for Simple and Complex Surveys
36. Inference on Distribution Functions and Quantiles
37. Scatterplots with Survey Data
Part 6. Informative Sampling and Theoretical Aspects
38. Population-Based Case-Control Studies
39. Inference under Informative Sampling
40. Asymptotics in Finite Population Sampling
41. Some Decision-Theoretic Aspects of Finite Population Sampling
C. R. Rao, born in India is one of this century's foremost statisticians, received his education in statistics at the Indian Statistical Institute (ISI), Calcutta. Rao is currently at Penn State as Eberly Professor of Statistics and Director of the Center for Multivariate Analysis. His research has influenced not only statistics, but also the physical, social and natural sciences and engineering.
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