Extension of Mangat Randomized Response Model
Zawar Hussain, Salman Arif Cheema, Sidra Zafar

Abstract
In this study, a Bayesian estimation of population proportion of a stigmatized attribute has been considered and a Bayes estimator is developed when the information from the survey respondents is collected using the randomized response technique (RRT) by Mangat and Singh (1990). Dominance picture of Bayes estimator has been portrayed for a wide range of values of population proportion by using simple Beta distribution as Prior information. It is observed Bayes estimator performed better than the Maximum Likelihood Estimator (MLE), in particular, for small and moderate samples.

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