Sampling: Design & Analysis (3版)

簡介 ●Has been thoroughly revised to incorporate recent research and applications. ●Includes a new chapter on nonprobability samples, and more than 200 new examples and exercises have been added. ●Teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. 目錄 1. Introduction 2. Simple Probability Samples 3. Stratified Sampling 4. Ratio and Regression Estimation 5. Cluster Sampling with Equal Probabilities 6. Sampling with Unequal Probabilities 7. Complex Surveys 8. Nonresponse 9. Variance Estimation in Complex Surveys 10. Categorical Data Analysis in Complex Surveys 11. Regression with Complex Survey Data 12. Two-Phase Sampling 13. Estimating the Size of a Population 14. Rare Populations and Small Area Estimation 15. Nonprobability Samples 16. Survey Quality A Probability Concepts Used in Sampling