Bayesian Analysis of Kim and Warde Randomized Response Technique Using Alternative Priors

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dc.contributor.authorAdepetun, A. O.
dc.contributor.authorAdewara, A. A.
dc.date.accessioned2023-06-22T11:51:32Z
dc.date.available2023-06-22T11:51:32Z
dc.date.issued2014
dc.description.abstractIn this paper, we developed the Bayesian estimators of the population proportion of a stigmatized attribute using Kumaraswamy and Generalised Beta prior distributions when data were obtained through the Randomized Response Technique (RRT) proposed by Kim and Warde [15]. We validated our newly developed Bayesian estimators for a wide range of the designed values of the population proportion at varying sample sizes. It was observed that our newly developed Bayesian estimators performed significantly better than the Bayesian estimator developed by Hussain and Shabbir [12] for relatively small as well as moderate sample sizes. However, the reverse was the case for very large sample sizes.en_US
dc.description.sponsorshipselfen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11223
dc.language.isoenen_US
dc.publisherAmerican Journal of Computational and Applied Mathematicsen_US
dc.subjectBayesian estimation, Alternative priors, Stigmatized attribute, Mean Square Error (MSE), Absolute Biasen_US
dc.titleBayesian Analysis of Kim and Warde Randomized Response Technique Using Alternative Priorsen_US
dc.typeArticleen_US

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