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Improved likelihood inferences for Weibull regression model
2017
Journal of Statistical Computation and Simulation
A general procedure is developed for bias-correcting the maximum likelihood estimators (MLEs) of the parameters of Weibull regression model with either complete or right-censored data. Following the bias correction, variance corrections and hence improved t-ratios for model parameters are presented. Potentially improved t-ratios for other reliability-related quantities are also discussed. Simulation results show that the proposed method is effective in correcting the bias of the MLEs, and the
doi:10.1080/00949655.2017.1331441
fatcat:x7ehfqko4bg4na6sew542c47w4