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Sample Surveys: Design, Methods and Applications, Vol 29A. Handbook of Statistics

  • ID: 1762703
  • Book
  • September 2009
  • 722 Pages
  • Elsevier Science and Technology
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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.

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

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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
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Pfeffermann, Danny.
Rao, C.R.
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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