多元斜椭圆分布的随机表示与概率特性

IF 1.4 3区 数学 Q2 STATISTICS & PROBABILITY Journal of Multivariate Analysis Pub Date : 2023-09-20 DOI:10.1016/j.jmva.2023.105240
Chuancun Yin , Narayanaswamy Balakrishnan
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引用次数: 2

摘要

多元斜正态分布族具有许多有趣的性质。这里表明,这些适用于一类一般的斜椭圆分布。对于这一类,建立了几个随机表示,然后研究了它们的概率性质,如特征函数、矩、二次形式以及变换性质。
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Stochastic representations and probabilistic characteristics of multivariate skew-elliptical distributions

The family of multivariate skew-normal distributions has many interesting properties. It is shown here that these hold for a general class of skew-elliptical distributions. For this class, several stochastic representations are established and then their probabilistic properties, such as characteristic function, moments, quadratic forms as well as transformation properties, are investigated.

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来源期刊
Journal of Multivariate Analysis
Journal of Multivariate Analysis 数学-统计学与概率论
CiteScore
2.40
自引率
25.00%
发文量
108
审稿时长
74 days
期刊介绍: Founded in 1971, the Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly innovative applications pertaining to the analysis and interpretation of multidimensional data. The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including cluster analysis, discriminant analysis, factor analysis, and multidimensional continuous or discrete distribution theory. Topics of current interest include, but are not limited to, inferential aspects of Copula modeling Functional data analysis Graphical modeling High-dimensional data analysis Image analysis Multivariate extreme-value theory Sparse modeling Spatial statistics.
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