A comparative study of goodness-of-fit tests for multivariate normality
From MaRDI portal
Publication:689353
DOI10.1006/jmva.1993.1063zbMath0778.62051OpenAlexW2060654009MaRDI QIDQ689353
Aydin Ozturk, Jorge Luis Romeu
Publication date: 6 December 1993
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmva.1993.1063
tablesprojection methodsunion-intersection principleempirical critical valuesMonte Carlo power studymultivariate normality goodness-of-fit testsnon-normal alternatives
Related Items (36)
A test for multivariate structure ⋮ Testing for multivariate normality via univariate tests: A case study using lead isotope ratio data ⋮ A Necessary Power Divergence Type Family Tests of Multivariate Normality ⋮ A characterization of multivariate normal distribution and its application ⋮ A new approach to the BHEP tests for multivariate normality ⋮ A test for elliptical symmetry ⋮ Normality-based validation for crisp clustering ⋮ Testing high-dimensional normality based on classical skewness and Kurtosis with a possible small sample size ⋮ A Q–Q plot for detecting non-multinormality based on a normal characterization and the S–W statistic ⋮ Extreme smoothing and testing for multivariate normality ⋮ An Appraisal and Bibliography of Tests for Multivariate Normality ⋮ A robustified Jarque-Bera test for multivariate normality ⋮ Some Applications of Läuter's Technique in Tests for Spherical Symmetry ⋮ A Monte Carlo comparison of Jarque–Bera type tests and Henze–Zirkler test of multivariate normality ⋮ A new large sample goodness of fit test for multivariate normality based on chi squared probability plots ⋮ Multivariate normality test using normalizing transformation for Mardia’s multivariate kurtosis ⋮ Are You All Normal? It Depends! ⋮ An affine invariant multiple test procedure for assessing multivariate normality ⋮ Asymptotics and practical aspects of testing normality with kernel methods ⋮ Tests of multinormality based on location vectors and scatter matrices ⋮ A New Graphical Test for Multivariate Normality ⋮ Testing multinormality based on low-dimensional projection ⋮ A large deviation approach to normality testing ⋮ A new goodness of fit test for multivariate normality ⋮ On the choice of the smoothing parameter for the BHEP goodness-of-fit test ⋮ A new test for multivariate normality ⋮ Testing multivariate normality in incomplete data of small sample size ⋮ Spherical harmonics in quadratic forms for testing multivariate normality ⋮ On tests for multivariate normality and associated simulation studies ⋮ Approximation of the power of kurtosis test for multinormality. ⋮ A power study of goodness-of-fit tests for multivariate normality implemented in R ⋮ Using principal components to test normality of high-dimensional data ⋮ A Monte Carlo comparison of the Type I and Type II error rates of tests of multivariate normality ⋮ Invariant tests for multivariate normality: A critical review ⋮ Tests for multinormality with applications to time series ⋮ Goodness-of-fit analysis for multivariate normality based on generalized quantiles.
This page was built for publication: A comparative study of goodness-of-fit tests for multivariate normality