@article{Eghwerido_Ogbo_Omotoye_2021, title={The Marshall-Olkin Gompertz Distribution: Properties and Applications}, volume={81}, url={https://rivista-statistica.unibo.it/article/view/10993}, DOI={10.6092/issn.1973-2201/10993}, abstractNote={This article introduces three parameters class for lifetime Poisson processes in the Marshall-Olkin transformation family that are increasing, bathtub and skewed. Some structural mathematical properties of the Marshall-Olkin Gompertz (MO-G) model were derived. The MO-G model parameters were established by maximum likelihood approach. The flexibility, efficiency, and behavior of the MO-G model estimators were examined through simulation. The empirical applicability, flexibility and proficiency of the MO-G model was scrutinized by a real-life dataset. The proposed MO-G model provides a better fit when compared to existing models in statistical literature and can serve as an alternative model to those appearing in modeling Poisson processes.}, number={2}, journal={Statistica}, author={Eghwerido, Joseph Thomas and Ogbo, Joel Oruaoghene and Omotoye, Adebola Evelyn}, year={2021}, month={Jan.}, pages={183–215} }