Abstract
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 language | English |
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Pages (from-to) | 371-386 |
Number of pages | 16 |
Journal | Computational Statistics and Data Analysis |
Volume | 28 |
Issue number | 4 |
DOIs | |
Publication status | Published - 28 Oct 1998 |
Scopus Subject Areas
- Statistics and Probability
- Computational Mathematics
- Computational Theory and Mathematics
- Applied Mathematics
User-Defined Keywords
- Graphical technique
- Invariant statistics
- Left-spherical matrix distribution
- Spherical distribution
- Test of multinormality