New Point Estimator for the Median of Gamma Distribution

dc.contributor.author	Banneheka, B.M.S.G.
dc.contributor.author	Ekanayake, G.E.M.U.P.D.
dc.date.accessioned	2015-09-25T04:23:07Z
dc.date.available	2015-09-25T04:23:07Z
dc.date.issued	2015-09-25T04:23:07Z
dc.identifier.citation	Banneheka, 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.uri	http://dr.lib.sjp.ac.lk/handle/123456789/1901
dc.description.abstract	In 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.language.iso	en	en_US
dc.publisher	University of Sri Jayewardenepura, Nugegoda.
dc.subject	gamma distribution	en_US
dc.subject	median	en_US
dc.subject	point estimate	en_US
dc.subject	maximum likelihood estimate	en_US
dc.subject	moment estimate	en_US
dc.title	New Point Estimator for the Median of Gamma Distribution	en_US
dc.type	Article	en_US
dc.date.published	2009