Literature DB >> 24563571

A Powerful Test for Multivariate Normality.

Ming Zhou1, Yongzhao Shao2.   

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.

Entities:  

Keywords:  Goodness of fit; Normal distribution; Power; Projection; Shapiro-Wilk test

Year:  2014        PMID: 24563571      PMCID: PMC3927875          DOI: 10.1080/02664763.2013.839637

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.404


  1 in total

1.  A characterization of multivariate normality through univariate projections.

Authors:  Yongzhao Shao; Ming Zhou
Journal:  J Multivar Anal       Date:  2010-11       Impact factor: 1.473

  1 in total
  2 in total

1.  A new robust multivariate mode estimator for eye-tracking calibration.

Authors:  Adrien Brilhault; Sergio Neuenschwander; Ricardo Araujo Rios
Journal:  Behav Res Methods       Date:  2022-03-16

2.  How Supportive Ethical Relationships Are Negatively Related to Palliative Care Professionals' Negative Affectivity and Moral Distress: A Portuguese Sample.

Authors:  Francisca Rego; Valentina Sommovigo; Ilaria Setti; Anna Giardini; Elsa Alves; Julliana Morgado; Marina Maffoni
Journal:  Int J Environ Res Public Health       Date:  2022-03-24       Impact factor: 3.390

  2 in total

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