Admissible and optimal sampling strategy for estimating finite population mean in randomized response surveys with multiple responses |
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Authors: | S Sengupta |
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Institution: | 1. Department of Statistics, University of Calcutta, Kolkata, Indiasamindras@yahoo.co.in |
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Abstract: | ABSTRACTWe consider the problem of estimation of a finite population mean (or proportion) related to a sensitive character under a randomized response model when independent responses are obtained from each sampled individual as many times as he/she is selected in the sample and prove the admissibility of a sampling strategy in a class of comparable linear unbiased strategies. We prove that the admissible strategy is also optimal in this class under a super-population model. |
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Keywords: | Admissibility Complete class Linear unbiased strategy Multiple responses Optimal strategy Population mean Population proportion Randomized response Super-population model |
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