On tests for multivariate normality and associated simulation studies

By P. Farrell, M. Salibián‐Barrera, Katarzyna Naczk. 2007

81 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2ce58a5dcf7dc3e0f72b5f5f6b881a6ef9d6c318

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. S. Y. Agbedra
2. Felix Boakye Oppong
3. José A. Villaseñor Alva
4. Izabela Regina Cardoso de Oliveira
5. E. Estrada
6. Daniel Furtado Ferreira

Citations in the corpus

• Assessing Univariate and Multivariate Normality, A Guide For Non-Statisticians (2016, methodology): “All the methods proposed can be grouped into four main categories namely: goodness of fit techniques, procedures based on skewness and kurtosis, consistent and invariant tests, and graphical and correlational approaches (Patrick et al., 2006).”
• A Generalization of Shapiro–Wilk's Test for Multivariate Normality (2009, methodology): “See also the reviews by Mecklin and Mundfrom (2005), Srivastava and Mudholkar (2003), Thode (2002), and Henze (2002). Mecklin and Mundfrom (2005) and Farrell et al.”
• Multivariate extension of chi-squared univariate normality test (2010, result): “These results are in agreement with those obtained by [13], considering the same combinations of n and p.”