首页> 外文期刊>Texas Journal of Science >A COMPARISON OF SIX TEST STATISTICS FOR DETECTING MULTIVARIATE NON-NORMALITY WHICH UTILIZE THE MULTIVARIATE SQUARED-RADII STATISTIC
【24h】

A COMPARISON OF SIX TEST STATISTICS FOR DETECTING MULTIVARIATE NON-NORMALITY WHICH UTILIZE THE MULTIVARIATE SQUARED-RADII STATISTIC

机译:利用多元平方半径统计量检测多元非常态的六个检验统计量的比较

获取原文
获取原文并翻译 | 示例
           

摘要

This study presents tabulated emprically-derived critical values for Hawkins' test for non-normality, and compares the power of this test to five other test statistics designed to detect multivariate non-normality, all of which are functions of the multivariate squared-radii statistic. The power comparison has been accomplished using a Monte Carlo simulation with two sample sizes, two observation dimensions, and ten multivariate non-normal distributions. Among the six test statistics considered in the present study, the one proposed by Hawkins (1981) has proven to be the best omnibus test statistic for detecting multivariate non-normality. Empirically calculated critical values for Hawkin's test statistic for detecting multivariate non-normality are given as an appendix.
机译:这项研究提供了针对Hawkins非正态检验的列表经验得出的临界值,并将该检验的功效与旨在检测多元非正态性的其他五个检验统计量进行了比较,所有这些统计量都是多元平方半径统计量的函数。使用两个样本大小,两个观测维度和十个多元非正态分布的蒙特卡洛模拟完成了功效比较。在本研究中考虑的六种检验统计量中,Hawkins(1981)提出的一种被证明是检测多元非正态性的最佳综合检验统计量。附录中给出了用于检测多元非正态性的霍金检验统计量的经验计算临界值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号