Estimating Morgenstern Type Bivariate Association Parameter Using a Modified Maximum Likelihood Method

IF 0.6 Q4 STATISTICS & PROBABILITY
M. A. Kadiri, Mohammad Migdadi
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引用次数: 1

Abstract

This paper investigates estimating the association parameter of Morgenstern type bivariate distribution using a modified maximum likelihood method where the regular maximum likelihood methods failed to achieve estimation. The simple random sampling, concomitant of ordered statistics and bivariate ranked set sampling methods are used and compared. Efficiency and bias of the produced estimators are compared for two specific examples, Morgenstern type bivariate uniform and exponential distributions.
修正极大似然法估计Morgenstern型双变量关联参数
本文研究了在常规最大似然方法无法实现估计的情况下,使用改进的最大似然方法估计Morgenstern型二元分布的关联参数。使用并比较了简单随机抽样、伴随有序统计和二变量排序集抽样方法。比较了Morgenstern型二变量均匀分布和指数分布两个具体例子的估计量的有效性和偏倚。
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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来源期刊
CiteScore
1.40
自引率
14.30%
发文量
0
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