Changbao Wu is Professor of Statistics at the University of Waterloo. He has done extensive research on the design and analysis of complex surveys. He received the CRM-­SSC Prize in Statistics in 2012 and was named Fellow of ASA and Elected Member of ISI in 2014. He has served as an Associate Editor for several statistical journals including Biometrika, Journal of the American Statistical Association and The Canadian Journal of Statistics. Mary E. Thompson is Distinguished Professor Emerita in Statistics at the University of Waterloo. She is a leading expert on survey methodology and the author of the book Theory of Sample Surveys (1997). She has received numerous awards and honors including the Gold Medal of Statistical Society of Canada and Fellow of the Royal Society of Canada.

“This is a comprehensive textbook on survey sampling, taking the reader from the foundations of the theory to well-established extensions … . Each chapter is followed by a set of exercises. … The text is richly complemented with citations to the relevant literature, including citations of historical importance. … the monograph is suitable for undergraduate and graduate courses in survey sampling ... .” (Nicholas T. Longford, Mathematical Reviews, February, 2022)

• Part I Basic Concepts and Methods in Survey Sampling.- Chapter 1 Basic Concepts in Survey Sampling.- Chapter 2 Simple Single-Stage Sampling Methods.- Chapter 3 Stratified Sampling and Cluster Sampling.- Chapter 4 General Theory and Methods of Unequal Probability Sampling.- Chapter 5 Model-Based Prediction and Model-Assisted Estimation.- Part II Advanced Topics on Analysis of Probability Survey Samples.- Chapter 6 Calibration Weighting and Estimation.- Chapter 7 Regression Analysis and Estimating Equations.- Chapter 8 Empirical Likelihood Methods.- Chapter 9 Methods for Handling Missing Data.- Chapter 10 Resampling and Replication Methods.- Chapter 11 Bayesian Empirical Likelihood Methods.- Part III Practical Issues and Special Topics in Survey Sampling.- Chapter 12 Area Frame Household Surveys.- Chapter 13 Telephone and Web Surveys.- Chapter 14 Natural Resource Inventory Surveys.- Chapter 15 Adaptive and Network Surveys.- Chapter 16 Dual Frame and Multiple Frame Surveys.- Chapter 17 Non-Probability Survey Samples.- References.- Appendix.- Index.

Changbao Wu is Professor of Statistics at the University of Waterloo. He has done extensive research on the design and analysis of complex surveys. He received the CRM-­SSC Prize in Statistics in 2012 and was named Fellow of ASA and Elected Member of ISI in 2014. He has served as an Associate Editor for several statistical journals including Biometrika, Journal of the American Statistical Association and The Canadian Journal of Statistics. Mary E. Thompson is Distinguished Professor Emerita in Statistics at the University of Waterloo. She is a leading expert on survey methodology and the author of the book Theory of Sample Surveys (1997). She has received numerous awards and honors including the Gold Medal of Statistical Society of Canada and Fellow of the Royal Society of Canada.

“This is a comprehensive textbook on survey sampling, taking the reader from the foundations of the theory to well-established extensions … . Each chapter is followed by a set of exercises. … The text is richly complemented with citations to the relevant literature, including citations of historical importance. … the monograph is suitable for undergraduate and graduate courses in survey sampling ... .” (Nicholas T. Longford, Mathematical Reviews, February, 2022)

• Part I Basic Concepts and Methods in Survey Sampling.- Chapter 1 Basic Concepts in Survey Sampling.- Chapter 2 Simple Single-Stage Sampling Methods.- Chapter 3 Stratified Sampling and Cluster Sampling.- Chapter 4 General Theory and Methods of Unequal Probability Sampling.- Chapter 5 Model-Based Prediction and Model-Assisted Estimation.- Part II Advanced Topics on Analysis of Probability Survey Samples.- Chapter 6 Calibration Weighting and Estimation.- Chapter 7 Regression Analysis and Estimating Equations.- Chapter 8 Empirical Likelihood Methods.- Chapter 9 Methods for Handling Missing Data.- Chapter 10 Resampling and Replication Methods.- Chapter 11 Bayesian Empirical Likelihood Methods.- Part III Practical Issues and Special Topics in Survey Sampling.- Chapter 12 Area Frame Household Surveys.- Chapter 13 Telephone and Web Surveys.- Chapter 14 Natural Resource Inventory Surveys.- Chapter 15 Adaptive and Network Surveys.- Chapter 16 Dual Frame and Multiple Frame Surveys.- Chapter 17 Non-Probability Survey Samples.- References.- Appendix.- Index.

Changbao Wu is Professor of Statistics at the University of Waterloo. He has done extensive research on the design and analysis of complex surveys. He received the CRM-­SSC Prize in Statistics in 2012 and was named Fellow of ASA and Elected Member of ISI in 2014. He has served as an Associate Editor for several statistical journals including Biometrika, Journal of the American Statistical Association and The Canadian Journal of Statistics. Mary E. Thompson is Distinguished Professor Emerita in Statistics at the University of Waterloo. She is a leading expert on survey methodology and the author of the book Theory of Sample Surveys (1997). She has received numerous awards and honors including the Gold Medal of Statistical Society of Canada and Fellow of the Royal Society of Canada.

“This is a comprehensive textbook on survey sampling, taking the reader from the foundations of the theory to well-established extensions … . Each chapter is followed by a set of exercises. … The text is richly complemented with citations to the relevant literature, including citations of historical importance. … the monograph is suitable for undergraduate and graduate courses in survey sampling ... .” (Nicholas T. Longford, Mathematical Reviews, February, 2022)

• Part I Basic Concepts and Methods in Survey Sampling.- Chapter 1 Basic Concepts in Survey Sampling.- Chapter 2 Simple Single-Stage Sampling Methods.- Chapter 3 Stratified Sampling and Cluster Sampling.- Chapter 4 General Theory and Methods of Unequal Probability Sampling.- Chapter 5 Model-Based Prediction and Model-Assisted Estimation.- Part II Advanced Topics on Analysis of Probability Survey Samples.- Chapter 6 Calibration Weighting and Estimation.- Chapter 7 Regression Analysis and Estimating Equations.- Chapter 8 Empirical Likelihood Methods.- Chapter 9 Methods for Handling Missing Data.- Chapter 10 Resampling and Replication Methods.- Chapter 11 Bayesian Empirical Likelihood Methods.- Part III Practical Issues and Special Topics in Survey Sampling.- Chapter 12 Area Frame Household Surveys.- Chapter 13 Telephone and Web Surveys.- Chapter 14 Natural Resource Inventory Surveys.- Chapter 15 Adaptive and Network Surveys.- Chapter 16 Dual Frame and Multiple Frame Surveys.- Chapter 17 Non-Probability Survey Samples.- References.- Appendix.- Index.