Log-Beta Log-Logistic Regression Model
Keywords:
beta log-logistic distribution, censored data, profile log-likelihood, survival function, lifetime data, maximum likelihood estimation, martingale residuals.Abstract
In this article, the log beta log-logistic regression model based on the beta log-logistic distribution is which has a wider range of applications. The estimates of the parameters of the model for censored data are derived. Finally, the proposed model is applied to a real data set. Model checks based on martingale residuals and the AIC and BIC statistics are used to suggest appropriate models.
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