Generalized Forced Quantitative Randomized Response Model
نویسندگان
چکیده
A new generalized forced quantitative randomized response (GFQRR) model for estimating the population total of a sensitive variable is proposed and studied under a unified setup. The bias and variance expressions are derived under unequal probability sampling design. It is shown that the models due to Eichhorn and Hayre (1983), Bar-Lev, Bobovitch, and Boukai (2004), Liu and Chow (1976a, 1976b), Stem and Steinhorst (1984), and Gjestvang and Singh (2005) are special cases of the proposed GFQRR model. Numerical illustrations are carried out to show the performance of the proposed GFQRR model.
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تاریخ انتشار 2006