2 p.m. - 3 p.m. Location: FN 2.102
Department of Mathematics and Statistics
University of North Carolina – Greensboro
Ratio and Regression Estimation of Mean of Sensitive Variables
There is a vast body of literature on ratio and regression estimation of finite population mean when the primary variable of interest is non-sensitive. However, much less work has been done in this area when the primary variable is sensitive in nature. Gupta et al. (2012) presented improved ratio and regression estimators of finite population mean of sensitive variables. These results have been improved further by Gupta et al. (2015) using optional randomized response models. We will discuss some of these results and their extensions (time permitting) to stratified sampling. We will also present simulation results to validate theoretical findings.
Sponsored by the Department of Mathematical Sciences