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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 [2] | R. S. Srivastava [5]
Abstract: 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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Research Paper, Mathematics, Iraq, Volume 6 Issue 3, March 2017
Pages: 2078 - 2082On Shrinkage Estimation of the Stress ? Strength Reliability of Exponentiaed Weibull Distribution
Abbas.N.S [2] | Fatima.H.S
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Research Paper, Mathematics, Iraq, Volume 6 Issue 3, March 2017
Pages: 1380 - 1386Comparison Four Methods for Estimating the Fatigue Life Distribution Parameters through Simulation
Abbas Najim Salman [2] | Taha Anwar Taha [2]