用二元排序集抽样估计Morgenstern型二元分布的参数

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

摘要

本文采用二元排序集抽样方法作为简单随机抽样的替代方法,发展了摩根斯坦型双变量分布的参数估计。该方法提供了一个同时估计所有分布参数的机会,这在以前的研究中尚未研究过。在本文的最后一部分,仿真研究表明了新估计器的性质,并与已有的估计器进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating parameters of Morgenstern type bivariate distribution using bivariate ranked set sampling
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivariate ranked set sampling procedure as an alterna-tive method to simple random sampling. This proposed procedure gives anopportunity to estimate all distribution's parameters simultaneously whichis not investigated in previous studies, yet. In the last part of this paper,simulation studies show properties of the new estimators and compare themwith some other existed estimators.
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CiteScore
1.40
自引率
14.30%
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