New Point Estimator for the Median of Gamma Distribution

dc.contributor.authorBanneheka, B.M.S.G.
dc.contributor.authorEkanayake, G.E.M.U.P.D.
dc.date.accessioned2015-09-25T04:23:07Z
dc.date.available2015-09-25T04:23:07Z
dc.date.issued2015-09-25T04:23:07Z
dc.date.published2009
dc.description.abstractIn this paper, we consider the problem of estimating the median of a gamma distribution. We introduce a new point estimator based on an approximation that we derive for the median of a gamma distribution. We compare the new estimator with two conventional estimators, namely the sample median and the maximum likelihood estimator (mle). Comparison is based on the amount of computations required to calculate the estimates and the root mean square errors of the estimators. The new estimator is shown to be ‘optimum’ with respect to these two criteria.en_US
dc.identifier.citationBanneheka, B.M.S.G., & Ekanayake, G.E.M.U.P.D. (2009). New Point Estimator for the Median of Gamma Distribution. Viyodaya Journal of Science, 14, 95-103.
dc.identifier.urihttp://dr.lib.sjp.ac.lk/handle/123456789/1901
dc.language.isoenen_US
dc.publisherUniversity of Sri Jayewardenepura, Nugegoda.
dc.subjectgamma distributionen_US
dc.subjectmedianen_US
dc.subjectpoint estimateen_US
dc.subjectmaximum likelihood estimateen_US
dc.subjectmoment estimateen_US
dc.titleNew Point Estimator for the Median of Gamma Distributionen_US
dc.typeArticleen_US

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