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ON NEW MOMENT ESTIMATION OF PARAMETERS OF THE GENERALIZED GAMMA DISTRIBUTION USING IT'S CHARACTERIZATION

Ping-Huang Huang, 黃炳煌, Tea-Yuan Hwang and 黃提源
Taiwanese Journal of Mathematics
Vol. 10, No. 4 (June 2006), pp. 1083-1093
Stable URL: http://www.jstor.org/stable/43833722
Page Count: 11
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
ON NEW MOMENT ESTIMATION OF PARAMETERS OF THE GENERALIZED GAMMA DISTRIBUTION USING IT'S CHARACTERIZATION
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Abstract

In this paper, the three estimators for three parameters of the generalized gamma distribution are proposed by using its characterization, and shown to be more convenient and more efficient than the maximum likelihood estimator for small samples. Furthermore, the estimators for the parameter of its special distribution such as gamma and Weibull distributions which are the most important in the reliability field and survival analysis are obtained.

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