期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：11
页码：9172-9177
出版社：IJECS
摘要：The breast cancer censored data of 254 patients was considered for the survival rate estimates. The data [12, 18] was treated at thechemotherapy department, Bradford Royal Infirmary for ten years. Here in this paper Gamma probabilitydistribution model is used to obtainthe survival rates of the patients (see [2], [6], [13]). Maximum likelihood method has been used through unconstrained BFGS optimizationmethod [5, 8, 9, 10] (BFGS-Broyden Fletcher-Goldfarb and Shanno Method) to find the parameter estimates and variance-covariancematrix for the Gamma distribution model. Finally the survivor rate estimates for the parametric Gamma probability model has beencompared with the non-parametric (Kaplan-Meier-[15]) method
关键词：Gamma distribution model; Censoring; Breast Cancer Data sets; BFGS-unconstrained optimization method; Maximum;likelihood function and Kaplan-Meier survivor rate estimates
