Maximum Likelihood Estimators of the Generalized Exponential Distribution
Recently a new family of distributions named as Generalized Exponential (GE) Distribution has been introduced and studied. In this paper we obtain the maximum likelihood estimators of the two parameter generalized exponential distribution. We generate n (= 10, 100, 1000, 10000) GE random variables and for each n, first we obtain the maximum likelihood estimator of the shape parameter in the case that scale parameter is known, and second we suppose that the shape and the scale parameters are unknown and estimate them by using an iterative procedure.
Generalized Exponential Distribution Maximum Likelihood Estimator Fisher Information Matrix Gamma Distribution Weibull Distribution
P. AZHDARI F. NEMANI. KASHANI
Department of Statistics, Islamic Azad University- North Tehran Branch, Tehran, Iran
国际会议
北京
英文
677-681
2011-06-20（万方平台首次上网日期，不代表论文的发表时间）