Graham Kalton 
Introduction to Survey Sampling [EPUB ebook] 

Series Editor Introduction
Preface
Acknowledgments
About the Author
Chapter 1: Introduction to Survey Sampling
Chapter 2: Simple Random Sampling
Chapter 3: Systematic Sampling
Chapter 4: Stratification
Proportionate Stratification
Disproportionate Stratification
Choice of Strata
Poststratification
Chapter 5: Cluster and Multi-Stage Sampling
Chapter 6: Probability Proportional to Size Sampling
Chapter 7: Other Probability Designs
Two-Phase Sampling
Dual-Frame Sampling
Replicated Sampling
Designs for Surveys Over Time
Responsive and Adaptive Designs
Chapter 8: Sampling Frames
Missing Elements
Clusters
Blanks and Foreign Elements
Duplicate Listings
Unlocatable Listings
Address-Based Sampling
Sampling for Telephone Surveys
Chapter 9: Nonresponse
Unit Nonresponse
Item Nonresponse
Chapter 10: Base Weights
Chapter 11: Compensating for Missing Data
Nonresponse Weighting Adjustments
Calibration Adjustments
Imputation
Chapter 12: Variance Estimation
The Taylor Series Linearization Method
Balanced Repeated Replications
Jackknife Repeated Replications
The Bootstrap
Some General Issues
Chapter 13: Sample Size
Chapter 14: Examples of National Probability Sample Designs
National Household Surveys in Sub-Saharan Africa
The 2016 American National Election Study
The 2017 California Health Interview Survey
The American Community Survey
Chapter 15: Nonprobability Sampling
Quota Sampling
Sampling Methods for “Hard-to-Survey” Populations
Sampling Methods for Internet Surveys
Small-Area Estimation
Chapter 16: Concluding Remarks
References
Index