title: A Powerful Test for Multivariate Normality.
abstract: 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.
authors.affiliation: Department of Statistics, Iowa State University, Ames, Iowa, USA.
authors.forename: Ming
authors.initials: M
authors.lastname: Zhou
authors.affiliation: Division of Biostatistics, New York University School of Medicine, New York, USA.
authors.forename: Yongzhao
authors.initials: Y
authors.lastname: Shao
keywords: Goodness of fit; Normal distribution; Power; Projection; Shapiro-Wilk test