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Sample surveys : design, methods and applications /
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 i...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier/North-Holland,
2009.
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| Colección: | Handbook of statistics (Amsterdam, Netherlands) ;
v. 29A. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Title Page; Copyright Page; Preface to Handbook 29A; Table of Contents; Contributors: Vol. 29A; Part 1: Sampling and Survey Design; Introduction to Part 1; 1. Importance of survey design; 2. Framework and approaches to design and inference; 3. Challenges in survey design; Chapter 1. Introduction to Survey Sampling; 1. Two alternative approaches to survey sampling inference; 2. Historical approaches to survey sampling inference; 3. Some common sampling strategies; 4. Conclusion; Chapter 2. Sampling with Unequal Probabilities; 1. Introduction.
- 2. Some methods of unequal probability sampling3. Point estimation in unequal probability sampling without replacement; 4. Variance estimators free of joint inclusion probabilities; 5. Variance estimation of a function of means; 6. Balanced sampling; Chapter 3. Two-Phase Sampling; 1. Introduction; 2. Using auxiliary information in estimation; 3. Three-phase sampling; 4. Two-phase estimation illustration; Chapter 4. Multiple-Frame Surveys; 1. What are multiple-frame surveys, and why are they used?; 2. Point estimation in multiple-frame surveys; 3. Variance estimation in multiple-frame surveys.
- 4. Designing multiple-frame surveys5. New applications and challenges for multiple-frame surveys; Acknowledgments; Chapter 5. Designs for Surveys over Time; 1. Introduction; 2. Repeated surveys; 3. Rotating panel surveys; 4. Panel surveys; 5. Conclusions; Chapter 6. Sampling of Rare Populations; 1. Introduction; 2. Modifications to classical design-based sampling strategies; 3. Adaptive sampling designs; 4. Experimental design; 5. Confidence interval estimation; 6. Summary; Chapter 7. Design, Conduct, and Analysis of Random-Digit Dialing Surveys; 1. Introduction; 2. Design of RDD surveys.
- 3. Conduct of RDD surveys4. Analysis of RDD surveys; Part 2: Survey Processing; Introduction to Part 2; 1. Overview of data processing steps; 2. Data quality and data processing; Chapter 8. Nonresponse and Weighting; 1. Nonresponse in surveys; 2. Response rates; 3. The relationship between response rates and nonresponse bias; 4. Weighting for nonresponse; 5. Variance and confidence interval estimation; 6. Discussion; Chapter 9. Statistical Data Editing; 1. Introduction; 2. The use of edit rules; 3. Interactive editing; 4. Editing during the data collection phase; 5. Selective editing.
- 6. Automatic editing7. Macro-editing; 8. A strategy for statistical data editing; 9. Discussion; Chapter 10. Imputation and Inference in the Presence of Missing Data; 1. Introduction; 2. Context and defnitions; 3. Bias of the imputed estimator; 4. Variance of the imputed estimator; 5. Imputation classes; 6. Variance estimation; 7. Multiple imputation; 8. Conclusions; Chapter 11. Dealing with Outliers in Survey Data; 1. Introduction; 2. Estimation of the mean of an asymmetric distribution in an infinite population; 3. The estimation of totals in finite populations containing outliers.