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Sample surveys on human populations have established the fact that refusal to respond and intended giving of incorrect answers are two main sources of non-sampling error. The bias produced by these two sources of error is sometimes large enough to make the sample estimates seriously misleading. This problem becomes more serious when respondents are questioned about sensitive matters. A procedure was introduced by Warner (1965) to diminish bias due to deliberately misleading responses. This procedure enables the respondents to provide truthful information while protecting their privacy. We present a brief survey of the literature about randomized response techniques (RRTs). A common Bayesian approach when the data are obtained through Perri (2008) and Mahmmod et al. (1998) randomized response models.Based on the concept of jeopardy function, we derived efficiency conditions for the Warner (1965), Mangat et al. (1995) and Bhargava and Singh (2000) model compared to Mahmood et al. (1998) model.
About the author
.Muhammad Abid is an innovator who is currently working as a senior product manager in the Services and Routing Group at Cisco. He is engaged in developing the next generation of platforms and innovative technologies that will support data center interconnect and software defined network (SDN) frameworks and play a key role in enabling cloud-based services and applications. Prior to this, he was focused on architecting solutions and driving technology roadmaps across multiple business units for unified communications, collaboration, and threat defense. Before joining Cisco, Muhammad held several positions, including at T-Systems, Padcom, Telcordia, and Latham & Watkins. Over the past 18 years, he has been involved in building innovative products and designing and architecting networks for service providers and enterprises. He has also validated mobility solutions for enterprises and performed technical audits on service provider equipment and networks. He holds a Bachelor's degree in Electrical Engineering from the City University of New York and an Executive Master in Technology Management degree from the Stevens Institute of Technology in New Jersey
