Testing multivariate normality based on f-representative points

HIGHLIGHTS

  • who: Sirao Wang et al. from the Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China Department of Mathematics, Hong Kong Baptist University, Hong Kong, China have published the research: Testing Multivariate Normality Based on F-Representative Points, in the Journal: Mathematics 2022, 10, 4300. of /2022/
  • what: Using the normal characteristic by the Mahalanobis distance the authors propose an approach to representative points of the simple univariate and the traditional chi-square statistic. This approach provides a new way of improving the traditional chi-square test for goodness-of-fit. The . . .

     

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