Statistics 160: Design and Analysis of Sample Surveys
Faculty of Arts and Sciences
Instructor: Alan Zaslavsky

Methods for design and analysis of sample surveys. The toolkit of sample design features, their use in optimal sample design strategies, and sampling weights and variance estimation methods (including resampling methods). Brief overview of nonstatistical aspects of survey methodology such as questionnaire design and validation. Additional topics include variance estimation for complex surveys and estimators, nonresponse, missing data, hierarchical models for survey data, and small-area estimation.

Prerequisite: Statistics 111 or 139, or permission of instructor.