Abstract
An exponential-type estimator is developed for the population mean of the sensitive study variable based on various Randomized Response Techniques (RRT) using a non-sensitive auxiliary variable. The mean squared error (MSE) of the proposed estimator is derived for generalized RRT models. The proposed estimator is compared with competitors in a simulation study and an application. The proposed estimator is found to be more efficient using a non-sensitive auxiliary variable.
DOI
10.22237/jmasm/1493598060
Recommended Citation
Özgül, N. & Çıngı, H. (2017). A new estimator based on auxiliary information through quantitative randomized response techniques. Journal of Modern Applied Statistical Methods, 16(1), 364-387. doi: 10.22237/jmasm/1493598060
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