A Bayesian Estimation of three Parameters in the Generalized Gamma Distribution
碩士 === 國立中興大學 === 應用數學系 === 85 === The generalized gamma distribution (g.g.d.) is an important distributionin reliability modelling and survial analysis. Unfortunately, the statisticalanalysis of the g.g.d. has proven to be quite difficult....
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
1997
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/59310877491863091234 |
| Summary: | 碩士 === 國立中興大學 === 應用數學系 === 85 === The generalized gamma distribution (g.g.d.) is an important
distributionin reliability modelling and survial analysis.
Unfortunately, the statisticalanalysis of the g.g.d. has proven
to be quite difficult.In this paper,a Bayesianalgorithm to
estimation of three parameters in the g.g.d. is discussed. A
recursive formula is derived to compute the estimates of three
parameters.The results of a Monte Carlo simulation study with
the g.g.d. are presented todemonstrate the favorable estimation
by the Bayesian estimation algorithm.
|
|---|