Normal–Poisson distribution as a lifetime of a series system

Authors

DOI:

https://doi.org/10.5902/2179460X29285

Keywords:

Normal distribution, Poisson distribution, EM-algorithm, Maximum likelihood estimation

Abstract

In this paper, we introduce a new three parameter skewed distribution. This new class which is obtained by compounding the normal and Poisson distributions, is presented as an alternative to the class of skew-normal and normal distributions, among others. Different properties of this new distribution have been investigated. The density and distribution functions of proposed distribution, are given by a closed expression which allows us to easily compute probabilities, moments and related measurements. Estimation of the parameters of this new model using maximum likelihood method via an EM-algorithm is given. Finally, some applications of this new distribution to real data are given.

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Author Biographies

Eisa Mahmoudi, Yazd University, Yazd, Iran

Faculty member of Yazd University, Yazd, Iran

Hamed Mahmoodian, Yazd University, Yazd, Iran

Ph. D. Student in Yazd University

Fatemeh Esfandiari, Yazd University, Yazd, Iran

Ms. C. Student in Yazd University

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Published

2018-03-27

How to Cite

Mahmoudi, E., Mahmoodian, H., & Esfandiari, F. (2018). Normal–Poisson distribution as a lifetime of a series system. Ciência E Natura, 40, e23. https://doi.org/10.5902/2179460X29285

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Section

Statistics