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.date.published | 2009 | |
| 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.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.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 |