Table of Contents

I Principles of Estimation for Finite Populations and Important Sampling Designs.- 1 Survey Sampling in Theory and Practice.- 2 Basic Ideas in Estimation from Probability Samples.- 3 Unbiased Estimation for Element Sampling Designs.- 4 Unbiased Estimation for Cluster Sampling and Sampling in Two or More Stages.- 5 Introduction to More Complex Estimation Problems.- II Estimation through Linear Modeling, Using Auxiliary Variables.- 6 The Regression Estimator.- 7 Regression Estimators for Element Sampling Designs.- 8 Regression Estimators for Cluster Sampling and Two-Stage Sampling.- III Further Questions in Design and Analysis of Surveys.- 9 Two-Phase Sampling.- 10 Estimation for Domains.- 11 Variance Estimation.- 12 Searching for Optimal Sampling Designs.- 13 Further Statistical Techniques for Survey Data.- IV A Broader View of Errors in Surveys.- 14 Nonsampling Errors and Extensions of Probability Sampling Theory.- 15 Nonresponse.- 16 Measurement Errors.- 17 Quality Declarations for Survey Data.- Appendix A Principles of Notation.- Appendix B The MU284 Population.- Appendix C The Clustered MU284 Population.- Appendix D The CO124 Population.- References.- Answers to Selected Exercises.- Author Index.

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"I would recommend that this book be in the office of every survey methodologist."
(Journal of Official Statistics)