A powerful test for multivariate normality

Ming Zhou and Yongzhao Shao

Journal of Applied Statistics, 2014, vol. 41, issue 2, 351-363

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.

Date: 2014
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DOI: 10.1080/02664763.2013.839637

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