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On using non identical and independent Bernoulli trials in human surveys
Authors:Zahid Pervez  Zawar Hussain  Maryam Hafeez
Institution:1. Department of Statistics, Government Sadiq Egerton College, Bahawalpur, Pakistan;2. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
Abstract:Unlike the usual randomized response techniques, as a pioneering attempt, this article focuses on using non identical independent Bernoulli trials in sensitive surveys. For this purpose, a general class of randomized response techniques is considered. The usual randomized response techniques are based on a fixed probability of having a yes answer. Contrary to usual techniques, in the proposed technique every respondent has a different probability of reporting a yes answer. With this setting, in most of the situations, the proposed technique is observed performing better in terms of variability. To illustrate and support the superiority of the proposed technique it is compared with models such as Warner (1965), Greenberg et al. (1969), Mangat and Singh (1990), and Mangat (1994) using identical Bernoulli trials. Relative efficiency and privacy protection are studied in detail using Warner (1965) and Mangat (1994) models.
Keywords:Efficient estimation  Estimation of proportion  Non identical Bernoulli trials  Randomized response  Sensitive surveys  
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