A stratified estimation of a sensitive character by using geometric distribution |
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Authors: | Gi-Sung Lee Ki-Hak Hong Jong-Min Kim |
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Affiliation: | 1. Department of Children Welfare, Woosuk University, Wanju, Jeonbuk, Korea;2. Department of Computer Science, Dongshin University, Naju, Chonnam, Korea;3. Statistics Discipline, Division of Science and Mathematics, University of Minnesota-Morris, Morris, MN, USA |
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Abstract: | AbstractIn this paper, we consider the estimation of a sensitive character when the population is consisted of several strata; this is undertaken by applying Niharika et al.’s model which is using geometric distribution as a randomization device. A sensitive parameter is estimated for the case in which stratum size is known, and proportional and optimum allocation methods are taken into account. We extended the Niharika et al.’s model to the case of an unknown stratum size; a sensitive parameter is estimated by applying stratified double sampling to the Niharika et al.’s model. Finally, the efficiency of the proposed model is compared with that of Niharika et al. in terms of the estimator variance. |
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Keywords: | Randomized response model Niharika et al. model geometric distribution sensitive character stratified sampling |
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