阿基米德联结的修剪l矩估计量的渐近正态性

IF 0.3 Q4 MULTIDISCIPLINARY SCIENCES Journal of Science and Arts Pub Date : 2023-03-30 DOI:10.46939/j.sci.arts-23.1-a12
Idiou Nesrine, Benatia Fatah
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引用次数: 0

摘要

针对Gumbel(1960)提出的l -矩方法由于缺乏理论l -矩而失效的无均值多参数分布或重尾分布,为了提出一种新的估计方法,Elamir和Seheult(2003)首先引入了trim l -矩。本文通过仿真研究,提出了一种基于多参数copula裁剪l矩的估计方法。并证明了新估计量的相合性和渐近正态性。
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ASYMPTOTIC NORMALITY OF TRIMMED L-MOMENTS ESTIMATOR FOR ARCHIMEDEAN COPULAS
In order to present a new estimation approach for multi-parameter distributions without a mean or for heavy tailed distributions, in which the L-moments method proposed by Gumbel, (1960), is invalid due to the absence of theoretical L-moments, Trimmed L-moments were first introduced by Elamir and Seheult (2003). In this paper, a new estimation method based on multi-parameter copulas' Trimmed L-moments is proposed with a simulation study. The consistency and the asymptotic normality of the new estimator also established.
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来源期刊
Journal of Science and Arts
Journal of Science and Arts MULTIDISCIPLINARY SCIENCES-
自引率
25.00%
发文量
57
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