A powerful test for multivariate normality
This paper investigates a new test for normality that is easy for biomedical researchers to understand and easy to implement in all dimensions. In terms of power comparison against a broad range of alternatives, the new test outperforms the best known competitors in the literature as demonstrated by simulation results. In addition, the proposed test is illustrated using data from real biomedical studies.
Year of publication: |
2014
|
---|---|
Authors: | Zhou, Ming ; Shao, Yongzhao |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 41.2014, 2, p. 351-363
|
Publisher: |
Taylor & Francis Journals |
Saved in:
Saved in favorites
Similar items by person
-
A characterization of multivariate normality through univariate projections
Shao, Yongzhao, (2010)
-
Shao, Yongzhao, (1999)
-
Translational Medicine: Strategies and Statistical Methods edited by COSMATOS, D. and CHOW, S.-C.
Shao, Yongzhao, (2010)
- More ...