Abstract: Poisson-Gamma Counting Process as a Discrete Survival Model
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

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Research Paper | Mathematics | India | Volume 4 Issue 4, April 2015

Poisson-Gamma Counting Process as a Discrete Survival Model

Pawan Kumar Srivastava, R. S. Srivastava

In this paper a PoissonGamma distribution has been proposed, which is obtained by compounding a Poisson distribution with a two parameter Gamma distribution. Here the pmf of the proposed distribution (PGD) is derived. The expressions for raw moments, central moments, coefficients of skewness and kurtosis have been derived. Survival and Hazard functions of proposed distribution are also obtained. The estimator of the parameters have been obtained by method of Moments as well as method of Maximum Likelihood. The proposed distribution has found to be a good fit of Kemp & Kemp survival data (1965).

Keywords: PoissonGamma distribution, Negative Binomial Distribution, Maximum Likelihood Estimator, Method of Moments, Survival Function, Hazard Function

Edition: Volume 4 Issue 4, April 2015

Pages: 2723 - 2729

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How to Cite this Article?

Pawan Kumar Srivastava, R. S. Srivastava, "Poisson-Gamma Counting Process as a Discrete Survival Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20041501, Volume 4 Issue 4, April 2015, 2723 - 2729

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