A New Odd Lindley-Gompertz Distribution: Its Properties and Applications

Omolola Dorcas Atanda

Department of Computer Science, Faculty of Natural and Applied Sciences, Nile University of Nigeria, Abuja, Nigeria.

Tajan Mashingil Mabur

Department of Statistics and Operations Research, MAUTech, P.M.B. 2076, Yola, Nigeria.

Gerald Ikechukwu Onwuka *

Department of Mathematics and Statistics, Faculty of Physical Sciences, Kebbi State University of Science and Technology, P.M.B. 1144, Aliero, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This article presents a comprehensive study of an odd Lindley-Gompertz distribution which has already been proposed in the literature but without any properties. The present study unlike the previous one has considered the derivation of several properties of the odd Lindley-Gompertz distribution with their graphical representations and discussions which has not been done in the first proposition of the distribution.  The study looks at properties such as survival (or reliability) function, the hazard function, the cumulative hazard function, the reverse hazard function, the odds function, quantile function, moments, moment generating function, characteristic function, cumulant generating function, distribution of order statistics and maximum likelihood estimation of the distribution’s parameters none of which was treated by the previous author of the model. An illustration to evaluate the goodness-of-fit of the odd Lindley-Gompertz distribution has also been done using two real life datasets and the results show that the model fits the datasets better than the five other distributions considered in this present study.

Keywords: Odd Lindley-G family, odd Lindley-Gompertz distribution, properties, estimation, applications


How to Cite

Atanda, Omolola Dorcas, Tajan Mashingil Mabur, and Gerald Ikechukwu Onwuka. 2020. “A New Odd Lindley-Gompertz Distribution: Its Properties and Applications”. Asian Journal of Probability and Statistics 7 (4):29-47. https://doi.org/10.9734/ajpas/2020/v7i430191.

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