期刊名称：International Journal of Advanced Statistics and Probability
电子版ISSN：2307-9045
出版年度：2018
卷号：6
期号：1
页码：37-41
DOI：10.14419/ijasp.v6i1.10450
出版社：Journal of Advanced Computer Science & Technology
摘要：This paper deals with the problem of parameters estimation of the Exponential-Geometric (EG) distribution based on progressive type-II censored data. It turns out that the maximum likelihood estimators for the distribution parameters have no closed forms, therefore the EM algorithm are alternatively used. The asymptotic variance of the MLEs of the targeted parameters under progressive type-II censoring is computed along with the asymptotic confidence intervals. Finally, a simple numerical example is given to illustrate the obtained results.
关键词：EM algorithm ;Exponential-Geometric distribution ;Maximum Likelihood Estimator ;Progressive type-II Censoring
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