STAT 8399:Design and Analysis of Massive Survey Data

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: STAT 8240 and STAT 8020
This course is designed to introduce concepts, techniques, and current practice of sample survey design and analysis with emphasis on the unique issues associate with “Big Data”. Topics include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, multistage sampling, replicated sampling, imputation and strategies to deal with missing data. Examples of complex designs will be drawn from telephone surveys, the Current Population Survey and various health surveys of National Center for Health Statistics. Topics in analysis include post-stratification adjustments, ratio and regression estimators, and methods for estimating variance from complex surveys.