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Activity Number: 345
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section
Abstract #313711
Title: A New Quasi-Empirical Bayes Estimate in Randomized Response Technique
Author(s): Augustus Jayaraj*+ and Oluseun Odumade and Sarjinder Singh
Companies: Cornell University and Deloitte and Texas A&M
Keywords: Randomized response sampling ; estimation of sensitive characteristics ; Bayes estimation ; Cramer-Rao lower bound of variance
Abstract:

In this paper, a new notion of a "quasi empirical" Bayes estimate is developed for estimating the proportion of sensitive attribute in a population by making use of both a prior distribution of prevalence of the sensitive attribute in addition to the known prior distribution of an unrelated characteristic.


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