A multivariate version of Ghosh's T3-plot to detect non-multinormality

Kai Tai Fang, Run Ze Li, Jia Juan Liang

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Based on the theory of spherical distributions, a multivariate version of Ghosh (1996)'s T3-plot (MT3-plot) to detect non-multinormality is proposed. New critical bands for the MT3-plot based on a Kolmogorov-Smirnov type statistic are recommended to substitute Ghosh's critical bands in multivariate cases. Monte Carlo study on the choice of the projection directions gives the conclusion that the power of the MT3-plot based on the proposed Kolmogorov-Smirnov type statistic against severe non-multinormality is generally high regardless of high dimension if the projection direction is properly chosen. An application of the MT3-plot to two real-life data sets verifies the efficiency of the MT3 in finding evidence of non-multinormality in high-dimensional data analysis.

Original languageEnglish (US)
Pages (from-to)371-386
Number of pages16
JournalComputational Statistics and Data Analysis
Issue number4
StatePublished - Oct 20 1998

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics


Dive into the research topics of 'A multivariate version of Ghosh's T3-plot to detect non-multinormality'. Together they form a unique fingerprint.

Cite this