Pfeffermann / Rao Sample Surveys: Design, Methods and Applications

1. Auflage 2009
ISBN: 978-0-08-093221-7
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 723 Seiten

Reihe: ISSN

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 practiceDiscusses a wide variety of diverse applicationsComprehensive bibliography

Autoren/Hrsg.

Pfeffermann, Danny

Rao, C.R.

Inhaltsverzeichnis

1;Front Cover;1
2;Title Page;4
3;Copyright Page;5
4;Preface to Handbook 29A;6
5;Table of Contents;8
6;Contributors: Vol. 29A;20
7;Part 1: Sampling and Survey Design;26
7.1;Introduction to Part 1;28
7.1.1;1. Importance of survey design;28
7.1.2;2. Framework and approaches to design and inference;29
7.1.3;3. Challenges in survey design;31
7.2;Chapter 1. Introduction to Survey Sampling;34
7.2.1;1. Two alternative approaches to survey sampling inference;34
7.2.2;2. Historical approaches to survey sampling inference;38
7.2.3;3. Some common sampling strategies;46
7.2.4;4. Conclusion;62
7.3;Chapter 2. Sampling with Unequal Probabilities;64
7.3.1;1. Introduction;64
7.3.2;2. Some methods of unequal probability sampling;65
7.3.3;3. Point estimation in unequal probability sampling without replacement;72
7.3.4;4. Variance estimators free of joint inclusion probabilities;73
7.3.5;5. Variance estimation of a function of means;75
7.3.6;6. Balanced sampling;76
7.4;Chapter 3. Two-Phase Sampling;80
7.4.1;1. Introduction;80
7.4.2;2. Using auxiliary information in estimation;85
7.4.3;3. Three-phase sampling;90
7.4.4;4. Two-phase estimation illustration;91
7.5;Chapter 4. Multiple-Frame Surveys;96
7.5.1;1. What are multiple-frame surveys, and why are they used?;96
7.5.2;2. Point estimation in multiple-frame surveys;101
7.5.3;3. Variance estimation in multiple-frame surveys;108
7.5.4;4. Designing multiple-frame surveys;110
7.5.5;5. New applications and challenges for multiple-frame surveys;110
7.5.6;Acknowledgments;113
7.6;Chapter 5. Designs for Surveys over Time;114
7.6.1;1. Introduction;114
7.6.2;2. Repeated surveys;116
7.6.3;3. Rotating panel surveys;119
7.6.4;4. Panel surveys;122
7.6.5;5. Conclusions;133
7.7;Chapter 6. Sampling of Rare Populations;134
7.7.1;1. Introduction;134
7.7.2;2. Modifications to classical design-based sampling strategies;135
7.7.3;3. Adaptive sampling designs;140
7.7.4;4. Experimental design;148
7.7.5;5. Confidence interval estimation;148
7.7.6;6. Summary;149
7.8;Chapter 7. Design, Conduct, and Analysis of Random-Digit Dialing Surveys;150
7.8.1;1. Introduction;150
7.8.2;2. Design of RDD surveys;151
7.8.3;3. Conduct of RDD surveys;159
7.8.4;4. Analysis of RDD surveys;171
8;Part 2: Survey Processing;180
8.1;Introduction to Part 2;182
8.1.1;1. Overview of data processing steps;182
8.1.2;2. Data quality and data processing;187
8.2;Chapter 8. Nonresponse and Weighting;188
8.2.1;1. Nonresponse in surveys;188
8.2.2;2. Response rates;192
8.2.3;3. The relationship between response rates and nonresponse bias;195
8.2.4;4. Weighting for nonresponse;199
8.2.5;5. Variance and confidence interval estimation;206
8.2.6;6. Discussion;208
8.3;Chapter 9. Statistical Data Editing;212
8.3.1;1. Introduction;212
8.3.2;2. The use of edit rules;213
8.3.3;3. Interactive editing;214
8.3.4;4. Editing during the data collection phase;216
8.3.5;5. Selective editing;217
8.3.6;6. Automatic editing;223
8.3.7;7. Macro-editing;232
8.3.8;8. A strategy for statistical data editing;236
8.3.9;9. Discussion;238
8.4;Chapter 10. Imputation and Inference in the Presence of Missing Data;240
8.4.1;1. Introduction;240
8.4.2;2. Context and defnitions;241
8.4.3;3. Bias of the imputed estimator;249
8.4.4;4. Variance of the imputed estimator;255
8.4.5;5. Imputation classes;256
8.4.6;6. Variance estimation;260
8.4.7;7. Multiple imputation;268
8.4.8;8. Conclusions;271
8.5;Chapter 11. Dealing with Outliers in Survey Data;272
8.5.1;1. Introduction;272
8.5.2;2. Estimation of the mean of an asymmetric distribution in an infinite population;275
8.5.3;3. The estimation of totals in finite populations containing outliers;281
8.5.4;4. The estimation of totals using auxiliary information in finite populations containing outliers;284
8.5.5;5. Dealing with stratum jumpers;295
8.5.6;6. Practical issues and future work;303
8.6;Chapter 12. Measurement Errors in Sample Surveys;306
8.6.1;1. Introduction;306
8.6.2;2. Modeling survey measurement error;307
8.6.3;3. The truth as a latent variable: Latent class models;314
8.6.4;4. Latent class models for three or more polytomous indicators;319
8.6.5;5. Some advanced topics;328
8.6.6;6. Measurement error evaluation with continuous variables;334
8.6.7;7. Discussion;340
8.7;Chapter 13. Computer Software for Sample Surveys;342
8.7.1;1. Survey process;342
8.7.2;2. Data collection;343
8.7.3;3. Statistical data editing;350
8.7.4;4. Imputation;357
8.7.5;5. Weighting adjustment;361
8.7.6;6. Analysis;368
8.7.7;7. Disclosure control;373
8.8;Chapter 14. Record Linkage;376
8.8.1;1. Introduction;376
8.8.2;2. Overview of methods;378
8.8.3;3. Data preparation;391
8.8.4;4. More advanced methods;395
8.8.5;5. Concluding remarks;405
8.9;Chapter 15. Statistical Disclosure Control for Survey Data;406
8.9.1;1. Introduction;406
8.9.2;2. Tabular outputs;409
8.9.3;3. Microdata;413
8.9.4;4. Conclusion;421
8.9.5;Acknowledgments;421
9;Part 3: Survey Applications;422
9.1;Introduction to Part 3;424
9.1.1;1. Frames and designs;424
9.1.2;2. Stratification, allocation and sampling;426
9.1.3;3. Estimation;427
9.1.4;4. Auxiliary information;428
9.1.5;5. Challenges;429
9.2;Chapter 16. Sampling and Estimation in Household Surveys;432
9.2.1;1. Introduction;432
9.2.2;2. Survey designs;433
9.2.3;3. Repeated household surveys;440
9.2.4;4. Data collection;450
9.2.5;5. Weighting and estimation;452
9.2.6;6. Nonsampling errors in household surveys;460
9.2.7;7. Integration of household surveys;461
9.2.8;8. Survey redesign;463
9.2.9;9. Conclusions;463
9.2.10;Acknowledgments;464
9.3;Chapter 17. Sampling and Estimation in Business Surveys;466
9.3.1;1. Introduction;466
9.3.2;2. Sampling frames for business surveys;467
9.3.3;3. Administrative data;471
9.3.4;4. Sample size determination and allocation;475
9.3.5;5. Sample selection and rotation;482
9.3.6;6. Data editing and imputation;485
9.3.7;7. Estimation;492
9.4;Chapter 18. Sampling, Data Collection, and Estimation in Agricultural Surveys;496
9.4.1;1. Introduction;496
9.4.2;2. Sampling;498
9.4.3;3. Data collection;505
9.4.4;4. Statistical estimation;507
9.4.5;5. Confidentiality;510
9.4.6;6. Concluding remarks;510
9.4.7;Acknowledgments;511
9.5;Chapter 19. Sampling and Inference in Environmental Surveys;512
9.5.1;1. Introduction;512
9.5.2;2. Sampling populations in space;514
9.5.3;3. Defining sample frames for environmental populations;515
9.5.4;4. Designs for probability-based environmental samples;517
9.5.5;5. Using ancillary information in design;525
9.5.6;6. Inference for probability-based design;527
9.5.7;7. Model-based optimal spatial designs;528
9.5.8;8. Plot design issues;531
9.5.9;9. Sources of error in environmental studies;533
9.5.10;10. Conclusions;537
9.5.11;Acknowledgements;537
9.6;Chapter 20. Survey Sampling Methods in Marketing Research: A Review of Telephone, Mall Intercept, Panel, and Web Surveys;538
9.6.1;1. Introduction;538
9.6.2;2. Telephone surveys;542
9.6.3;3. Fax surveys;552
9.6.4;4. Shopping center sampling and interviewing;552
9.6.5;5. Consumer panels;554
9.6.6;6. Web surveys;559
9.6.7;7. Conclusion;563
9.7;Chapter 21. Sample Surveys and Censuses;564
9.7.1;1. Introduction;564
9.7.2;2. The use of sample surveys for estimating coverage errors;566
9.7.3;3. The use of sample surveys to evaluate statistical adjustment of census counts;577
9.7.4;4. The use of sample surveys for carrying out a census;583
9.7.5;5. Sample surveys carried out in conjunction with a census;587
9.7.6;6. Concluding remarks;589
9.8;Chapter 22. Opinion and Election Polls;592
9.8.1;1. Introduction: the reasons for public opinion and election polling;592
9.8.2;2. General methodological issues in public opinion and election polls;600
9.8.3;3. Preelection polling: methods, impact, and current issues;605
9.8.4;4. Exit polling;609
9.8.5;5. Postelection and between-election polls;613
9.8.6;6. Other opinion measurements: focus groups, deliberative polls, and the effect of political events;613
9.8.7;7. Present and future challenges in polling;615
9.8.8;8. Continued interest in public opinion and polling;619
9.8.9;Acknowledgments;620
10;References;622
11;Subject Index: Index of Vol. 29A;676
12;Handbook of Statistics: Contents of Previous Volumes;696