Survey Sampling II

3 credits · Undergraduate

(3 hrs Lecture) Statistical agencies have long collected data of interest to governments to inform the development of public policy through surveys. This course emphasizes some key theoretical and practical aspects of survey methodology. Some important unequal probability sampling designs such as probability proportional to size sampling and multi-stage sampling are studied. The Horvitz-Thompson, generalized regression and calibration estimators and their properties are investigated. This course also covers practical methods for dealing with missing survey data, such as imputation. R statistical software is used to facilitate some analyses. Requisite Courses: STAT-2301 with a minimum grade of C, and STAT-2612|MATH-2612 (or the former STAT-3611|MATH-3611) [prerequisite(s)].