A Comparison between  Maximum likelihood and moment estimators for Mixture model of two exponential distributions By using simulation

	A Comparison between Maximum likelihood and moment estimators for Mixture model of two exponential distributions By using simulation
Al Kut Journal of Economics Administrative Sciences
Article 1, Volume 0, Issue 0, 2018, Pages 100-115
Abstract
Abstract: The importance of reliability analysis increased has recently because for being the most suited to scientific applications based on the time factor. And that most studies in the field of reliability concerned with statistical inference included parameter estimator of the failure model. Having examined the numerous researches show that reliability analysis widely used mixture distributions based on the distribution of failure times that are often heterogeneous , As is well known that the distributions commonly used in the analysis of Reliability and survival function is exponential distribution as the importance of models in the study of exponential failure times is the normal distribution such as the importance of specialized studies in the science of biological life from here become the object of this research to studies the estimator which is a most commonly which are maximum likelihood estimator and moment estimator to modeled mixture from two exponential distribution with deferent parameters λ_(1 ) , λ_2 and the ratio p by using complete sampling. The index was based on statistical comparison using the commonly used MSE .

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