Estimation for weighted Weibull distribution with right censored data
Firstly,this paper establishes a weighted Weibull model for right-censored data.The shape parameter in the distribution is replaced by a regression form,resulting in a weighted Weibull regression model.Maximum likelihood estimation is applied to estimate the parameters in both models,and the effectiveness of the proposed method is validated through numerical simulations.Finally,the method is applied to analyze a lung cancer dataset.