Offers a comprehensive and rigorous introduction to the principles and practices of survey sampling, bridging the gap between statistical theory and real-world data collection.
Offers a comprehensive and rigorous introduction to the principles and practices of survey sampling, bridging the gap between statistical theory and real-world data collection.
Jae Kwang Kim is the LAS Dean's Professor in the Department of Statistics at Iowa State University. He is a fellow of American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He is the recipient of the 2015 Gertude M. Cox award, sponsored by the Washington Statistical Society and RTI international.
Inhaltsangabe
1. Introduction. 2. Horvitz-Thompson Estimation. 3. Simple and Systematic Sampling Designs. 4. Stratified Sampling. 5. Sampling with Unequal Probabilities. 6. Cluster Sampling: Single-stage cluster sampling. 7. Cluster Sampling: Two-stage cluster sampling. 8. Estimation: Part 1. 9. Estimation: Part 2. 10. Variance Estimation. 11. Two-Phase Sampling. 12. Unit Nonresponse. 13. Imputation. 14. Analytic Inference. 15. Predictive Inference. 16. Analysis of Non-Probability Samples. A. Asymptotic Theory in Survey Sampling. B. Projection Technique. Bibliography. Index.
