Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4632686 | Applied Mathematics and Computation | 2010 | 9 Pages |
Abstract
We consider geometric process (GP) when the distribution of the first occurrence time of an event is assumed to be Weibull. Explicit estimators of the parameters in GP are derived by using the method of modified maximum likelihood (MML) proposed by Tiku [24]. Asymptotic distributions and consistency properties of these estimators are obtained. We show that our estimators are more efficient than the widely used modified moment (MM) estimators via Monte Carlo simulation study. Further, two real life examples are given at the end of the paper.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Halil AydoÄdu, Birdal ÅenoÄlu, Mahmut Kara,