Mean Estimation of A Sensitive Variable Using Optional Randomized Response Technique in Two-Phase Sampling When Non-response and Measurement Error are Simultaneously Present

A generalized class of estimators for finite population mean of a sensitive variable is proposed in the presence of non-response and measurement errors using randomized response technique in two phase sampling. Data obtained from a non-sensitive positively correlated auxiliary variable at first phase is utilized. The expression for MSE of the suggested estimator is derived. Numerical study is done to weigh the efficiency of the suggested mean estimator in relation to other estimators both theoretically and empirically.