Testing Multivariate Normality Based on <i>F</i>-Representative Points

Testing Multivariate Normality Based on <i>F</i>-Representative Points

The multivariate normal is a common assumption in many statistical models and methodologies for high-dimensional data analysis. The exploration of approaches to testing multivariate normality never stops. Due to the characteristics of the multivariate normal distribution, most approaches to testing...

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Bibliographic Details
Main Authors: Sirao Wang, Jiajuan Liang, Min Zhou, Huajun Ye
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
affine invariance
chi-squared test
F-distribution
multivariate normality
representative points
Online Access:https://www.mdpi.com/2227-7390/10/22/4300

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https://www.mdpi.com/2227-7390/10/22/4300

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