A New Estimator based on Auxiliary Information through Quantitative Randomized Response Techniques


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Ozgul N., ÇINGI H.

JOURNAL OF MODERN APPLIED STATISTICAL METHODS, cilt.16, sa.1, ss.364-387, 2017 (ESCI) identifier identifier

Özet

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.