Joint Distribution of Minimum of N Iid Exponential Random Variables and Poisson Marginal
We introduced a random vector (X,N), where N has Poisson distribution and X are minimum of N independent and identically distributed exponential random variables. We present fundamental properties of this vector such as PDF, CDF and stochastic representations. Our results include explicit formulas for marginal and conditional distributions, moments and moments generating functions. We also derive moments estimators and maximum likelihood estimators of the parameter of this distribution.
Year of publication: |
2013
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Authors: | Al-Obaidi, Ali Hussein Mahmood |
Published in: |
Journal of Asian Scientific Research. - Asian Economic and Social Society. - Vol. 3.2013, 3, p. 337-343
|
Publisher: |
Asian Economic and Social Society |
Subject: | Hierarchical approach | joint distribution | Poisson marginal | moments estimators | maximum likelihood estimators | marginal distributions | conditional distributions | stochastic representations |
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