Shrinkage estimation of the proportion in randomized response |
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Authors: | S. E. Ahmed V. K. Rohatgi |
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Affiliation: | (1) Department of Mathematics and Statistics, University of Regina, S4S 0A2 Regina, Saskatchewan, Canada;(2) Department of Mathematics and Statistics, Bowling Green State University, 43403, Ohio, USA |
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Abstract: | This article considers the asymptotic estimation theory for the proportion in randomized response survey usinguncertain prior information (UPI) about the true proportion parameter which is assumed to be available on the basis of some sort of realistic conjecture. Three estimators, namely, the unrestricted estimator, the shrinkage restricted estimator and an estimator based on a preliminary test, are proposed. Their asymptotic mean squared errors are derived and compared. The relative dominance picture of the estimators is presented. |
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Keywords: | Shrinkage restricted estimator shrinkage preliminary test estimator asymptotic biases and risks asymptotic efficiency |
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