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Location-scale mixture of skew-elliptical distributions: Looking at the robust modeling

机译:倾斜椭圆分布的位置比例混合:查看稳健的建模

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A flexible class of skew-slash distributions which is a location scale mixture of skew-elliptically distributed random variable with power of a beta random variable is presented. This family of distributions, which is a generalization of location-scale mixture of normal and beta distributions, contain some existing and important distributions and is appropriate for modeling data with skewness and heavy tail structure. Some distributional properties and the moments of this new family of distributions are obtained. In the special case of location-scale mixture of skew-normal distribution, we estimate the parameters via an EM-type algorithm and a simulation study and an application to real data are provided for illustration. Finally we extend some results to multivariate case. (C) 2016 Elsevier B.V. All rights reserved.
机译:提出了一种灵活的斜线斜线分布,它是斜线椭圆分布的随机变量与β随机变量的幂的位置比例混合。该分布族是正态分布和β分布的位置比例混合的概括,包含一些现有的重要分布,适用于对具有偏斜度和重尾结构的数据进行建模。获得了一些分布特性和这个新的分布族的矩。在偏态正态分布的位置尺度混合的特殊情况下,我们通过EM型算法估算参数,并进行了仿真研究,并提供了对实际数据的应用以进行说明。最后,我们将一些结果扩展到多变量情况。 (C)2016 Elsevier B.V.保留所有权利。

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