An Estimation of Sensitive Attribute Applying Geometric Distribution under Probability Proportional to Size Sampling
In this paper, we extended Yennum et al.’s model, in which geometric distribution is used as a randomization device for a population that consists of different-sized clusters, and clusters are obtained by probability proportional to size (PPS) sampling. Estimators of a sensitive parameter, their var...
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Veröffentlicht in: | Mathematics (Basel) 2019-11, Vol.7 (11), p.1102 |
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Sprache: | eng |
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