多元偏态正态的平滑检验

Proceedings of the 2019 3rd International Conference on Advances in Image Processing Pub Date : 2019-11-08 DOI:10.1145/3373419.3373422

Yan Su, Boyuan Zhou

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引用次数: 0

摘要

在单位球表面均匀性光滑检验的基础上，提出了一种新的多元偏正态性检验方法。得到了变换后样本的渐近零分布，并给出了一种估计检验统计量p值的自举算法。利用Anderson-Darling检验，给出了一种检验多元偏正态分布中形状参数是否为零的自举方法。

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Smooth Test for Multivariate Skew-Normality

Based on the smooth test for uniformity on the surface of a unit sphere, a new test for multivariate skew-normality is presented. The asymptotic null distribution of the transformed sample is obtained, and a bootstrapping algorithm is given to estimate the p-value of the test statistic. By using the Anderson-Darling test, a bootstrapping procedure is provided in order to test whether the shape parameter is zero in the multivariate skew-normal distribution.

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Proceedings of the 2019 3rd International Conference on Advances in Image Processing

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