Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
418261 | Computational Statistics & Data Analysis | 2007 | 9 Pages |
Abstract
An efficient estimate for the change point in the hazard function is obtained. This is based on a Bayesian estimator which uses equations concerning the parameters of a recently proposed hazard function. It is found through a simulation study that the proposed estimator is more efficient than the traditional estimators in many cases. Furthermore, experimental results that use data of breast cancer patients and some lymphoma data show that the proposed estimator is also practical in applications.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Durdu Sertkaya Karasoy, Cem Kadilar,