A New Bivariate Distribution with Generalized Gompertz Marginals

Authors

  • E. A. El-Sherpieny Prof. of Mathematical Statistics, ISSR, Cairo University, Giza
  • S. A. Ibrahim Assist. Prof. of Mathematical Statistics, ISSR, Cairo University, Giza
  • Radwan E. Bedar Ph. D. Student of Mathematical Statistics, ISSR, Cairo University, Giza

Keywords:

Generalized Gompertz distribution, Maximum likelihood estimators, Moment estimators, Fisher information matrix

Abstract

In this paper, we introduce a new bivariate generalized Gompertz distribution, it is of Marshall-Olkin type. Some properties of the distribution are studied, as bivariate moment generating function, marginal moment generating function and conditional distribution. Parameters estimators using the maximum likelihood method are obtained. A numerical illustration is used to obtain maximum likelihood estimators (MLEs) and we study the behavior of the estimators numerically.

References

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Marshall, A. W. and Olkin, I. A. "A multivariate exponential distribution". Journal of the American Statistical Association. 62, 30-44, 1967.

Sarhan, A. and Balakrishnan, N. "A new class of bivariate distributions and its mixture". Journal of the Multivariate Analysis. 98 1508-1527, 2007.

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Published

2013-10-20

How to Cite

El-Sherpieny, E. A., Ibrahim, S. A., & Bedar, R. E. (2013). A New Bivariate Distribution with Generalized Gompertz Marginals. Asian Journal of Applied Sciences, 1(4). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/520