Statistics in Survey Sampling

by Jae Kwang Kim

Overview

Statistics of Survey Sampling 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, this textbook presents both classical methods and modern developments, equipping readers with the tools to design effective surveys and make reliable inferences from sample data.

With a strong foundation in design-based inference and frequentist methodology, the book emphasizes representativeness, efficiency, and the integration of auxiliary information in estimation procedures. It also introduces emerging research topics that reflect the evolving landscape of data collection and analysis.

Features:

• Rigorous treatment of statistical theory for design-based inference in probability sampling
• Thorough exploration of model-assisted estimation techniques using auxiliary data
• Coverage of modern topics including data integration, analytic inference, predictive inference, and voluntary sample analysis
• Detailed examples illustrate the methods throughout the book
• Focused development within the frequentist framework, with limited emphasis on Bayesian or nonparametric methods
• Exercises in all chapters enable use as a course text or for self-study
• Includes appendices on key background topics such as asymptotic theory and projection techniques

This textbook is ideal for graduate students in statistics with prior courses in statistical theory and linear models. It is also a valuable reference for researchers and practitioners engaged in survey design, public policy evaluation, official statistics, and data science applications involving sample-based inference.

Product Details

ISBN-13:	9781032997766
Publisher:	CRC Press
Publication date:	11/03/2025
Series:	Chapman & Hall/CRC Texts in Statistical Science
Pages:	280
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

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.

Table of Contents

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. Analysis of Voluntary Samples.