Stochastic Randomized Response Model for a Quantitative Sensitive Random Variable
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May 1, 2014
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Sarjinder Singh
Texas A&M University-Kingsville
Stephen A. Sedory
Texas A&M University-Kingsville
Abstract
A new stochastic randomized response model is introduced that is useful for estimating the population mean of a sensitive quantitative variable. The proposed stochastic randomized response model is an extension of the stochastic randomized response model from a qualitative sensitive variable to a quantitative variable found in Singh (2002). The stochastic nature of a randomized response device helps increase a respondent’s cooperation while collecting information on sensitive variables in a society. The Bar-Lev, Bobovitch, and Boukai (2004) model is shown to be a special case of the proposed model.
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