Generalized Exponential Poisson Geometric Distribution using Marshall-Olkin Technique

M. M. E. Abd El-Monsef *

Faculty of Science, Tanta University, Egypt.

N. M. Sohsah

Faculty of Science, Tanta University, Egypt.

W. A. Hassanein

Faculty of Science, Tanta University, Egypt.

*Author to whom correspondence should be addressed.


Abstract

A new continuous distribution is generated by using Marshall Olkin method; it is probability function has been generated also distribution function. Reliability function and hazard function. The proposed called geometric Poisson exponential distribution (GEPGD). some of it is properties are investigated; parameters estimation are obtained using more than one methods such as maximum likelihood method, least square method, weighted least square method and Cramér- Von- Mises. The simulation study for GEPGD parameters. Finally. A real-life application is applied for studying the importance and the flexibility of the proposed distributions comparing with other well-known distributions.

Keywords: Marshall Olkin distribution, generalized exponential power series, exponential distribution, Poisson distribution, geometric distribution


How to Cite

El-Monsef, M. M. E. Abd, N. M. Sohsah, and W. A. Hassanein. 2021. “Generalized Exponential Poisson Geometric Distribution Using Marshall-Olkin Technique”. Journal of Advances in Mathematics and Computer Science 36 (11):50-60. https://doi.org/10.9734/jamcs/2021/v36i1130418.

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