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Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling.
The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students.
Undergraduates and graduate students in statistics and mathematics; statisticians in Government and private sector organizations
Chapter 1. Preliminaries and Basics of Probability Sampling
Chapter 2. Unified Sampling Theory: Design-Based Inference
Chapter 3. Simple Random Sampling
Chapter 4. Systematic Sampling
Chapter 5. Unequal Probability Sampling
Chapter 6. Inference Under Superpopulation Model
Chapter 7. Stratified Sampling
Chapter 8. Ratio Method of Estimation
Chapter 9. Regression, Product, and Calibrated Methods of Estimation
Chapter 10. Two-Phase Sampling
Chapter 11. Repetitive Sampling
Chapter 12. Cluster Sampling
Chapter 13. Multistage Sampling
Chapter 14. Variance/Mean Square Estimation
Chapter 15. Nonsampling Errors
Chapter 16. Randomized Response Techniques
Chapter 17. Domain and Small Area Estimation
Chapter 18. Variance Estimation: Complex Survey Designs
Chapter 19. Complex Surveys: Categorical Data Analysis
Chapter 20. Complex Survey Design: Regression Analysis
Chapter 21. Ranked Set Sampling
Chapter 22. Estimating Functions
Chapter 23. Estimation of Distribution Functions and Quantiles
Chapter 24. Controlled Sampling
Chapter 25. Empirical Likelihood Method in Survey Sampling
Chapter 26. Sampling Rare and Mobile Populations
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