广义双Lomax分布及其应用

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-12-27 DOI:10.6092/ISSN.1973-2201/6520
A. M. Fares, V. Gopal
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引用次数: 7

摘要

从多项式族中提出了一种新的概率分布,用于对整条实线上连续的重尾数据建模。我们推导了该分布的一些一般性质,并将其应用于美国股市日收益的几个数据集。引入的模型是对称的和细峰的,从信息标准的角度来看,它优于用于给定数据的对等分布,这表明建模显示重尾数据的新潜在候选。
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The generalized double Lomax distribution with applications
A new probability distribution from the polynomial family has been proposed for modeling heavy-tailed data that are continuous on the whole real line. we have derived some general properties of this distribution and applied it on several data sets of U.S stock market daily returns. The introduced model is symmetric and leptokurtic, it outperforms the peer distributions used for the given data from perspective of information criteria suggesting a new potential candidate for modeling data exhibiting heavy tails.
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
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