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 1 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 2 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.

Key Features

Comprehensive account of recent developments in sample survey theory and practice

Covers a wide variety of diverse applications

Comprehensive bibliography


Researchers and practitioners in sample surveys, Sampling and survey design, Survey processing, Survey applications, Inference from survey data, Informative sampling and theoretical aspects.

Table of Contents

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


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© 2009
North Holland
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