Estimating the Parameters of the‎ ‎Bivariate Burr Type III‎ ‎Distribution by EM Algorithm

IF 0.1 Q4 STATISTICS & PROBABILITY
افسانه زازرمی عزیزی, عبدالرضا سیاره
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引用次数: 3

Abstract

In recent years, bivariate lifetime distributions are often used to model reliability and survival data. In this paper, we introduce a bivariate Burr III distribution, so that the marginals have Burr III distributions. It is observed that the joint probability density function, the joint cumulative distribution function and the joint survival distribution function can be expressed in compact forms. We suggest to use the ECM algorithm to compute the maximum likelihood estimators of the unknown parameters. We report some simulation results and perform one data analysis for illustrative purposes.
估计‎ ‎双变量伯尔III型‎ ‎EM算法分布
近年来,双变量寿命分布经常被用来对可靠性和生存数据进行建模。在本文中,我们引入了一个二元Burr III分布,使得边缘具有Burr III的分布。观察到,联合概率密度函数、联合累积分布函数和联合生存分布函数可以用紧致形式表示。我们建议使用ECM算法来计算未知参数的最大似然估计量。为了便于说明,我们报告了一些模拟结果并进行了一次数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.50
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0.00%
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