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- W2184288519 abstract "The survival rate estimates for the breast cancer censored data have been considered for the 254 patients. The data [11] was treated at the chemotherapy department, Bradford Royal Infirmary for ten years. Here in this paper Inverse Gaussian, Gumbel and Weibull probability distribution (see [13], [14], [15]) models are used to obtain the survival rates of the patients using BFGS (Broyden-Fletcher-Goldfarb-Shanno) variable metric optimization methods. Maximum likelihood method [18] has been used through (BFGS) unconstrained optimization method [3, 6, 7] to find the parameter estimates and variance-covariance matrix for the said distribution models. Finally the survivor rate estimates for the probability models have been compared with the non-parametric Kaplan-Meier [12] method." @default.
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- W2184288519 date "2012-01-01" @default.
- W2184288519 modified "2023-09-24" @default.
- W2184288519 title "Comparison of Survival Studies for Some Parametric Distributions Models for the Breast Cancer Data Using Maximum Likelihood Method" @default.
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