Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1141175 | Mathematics and Computers in Simulation | 2008 | 9 Pages |
Abstract
This article focuses on the parameter estimation of the generalized gamma distribution. Because of many difficulties described in the literature to estimate the parameters, we propose here a new estimation method. The algorithm associated to this heuristic method is implemented in Splus. We validate the resulting routine on the particular cases of the generalized gamma distribution.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
O. Gomes, C. Combes, A. Dussauchoy,