The odd log-logistic generalized exponential distribution: Application on survival times of chemotherapy patients data

Background: The creation of developing new generalized classes distributions has attracted applied and theoretical statisticians owing to their properties flexibility. development distribution aims find flexibility suitability for available data. In this decade, most authors have developed that are new, become valuable researchers. Methods: This study develop the odd log-logistic exponential (OLLGED), one lifetime newly generated in field statistics. advantage is heavily tailed distributed data set. Most probabilistic derived including generating functions, moments, quantile order statistics. Results: Estimation model parameter done by maximum likelihood method. performance parametric estimation studied through simulation. Application OLLGED its flexibilities using two sets while on randomly simulated set. Conclusions: application ensured empirical observation data, establishing proposed can provide a better fit comparison existing rival models, such as log-logistic, type-II distributions, exponential, log-logistic.