A 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	2013-05-14T08:34:56Z
dc.date.available	2013-05-14T08:34:56Z
dc.date.issued	2009
dc.identifier.citation	Banneheka, B.M.S.G., & Ekanayake, G.E.M.U.P.D. (2009).A New Point Estimator for the Median of Gamma Distribution. Vidyodaya Journal of Science, 14, 95-103.	en-US
dc.identifier.uri	http://dr.lib.sjp.ac.lk/handle/123456789/1070
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 ofthe estimators. The new estimator is shown to be 'optimum' with respect to these two criteria.	en_US
dc.language.iso	en	en_US
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	A New Point Estimator for the Median of Gamma Distribution	en_US
dc.type	Article	en_US
dc.date.published	2009