MANOVA for large hypothesis degrees of freedom under non-normality

DOI10.1007/s11749-006-0026-6zbMath1148.62035OpenAlexW1997677530MaRDI QIDQ946212

Solomon W. Harrar, Arjun K. Gupta, Yasunori Fujikoshi

Publication date: 22 September 2008

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-006-0026-6

zbMATH Keywords

asymptotic distributionnon-normalityunbalanced designmultivariate analysis of variancebalanced designnon-null distributionnull distributiongeneralized quadratic form

Mathematics Subject Classification ID

Related Items (8)

A modified two-factor multivariate analysis of variance: asymptotics and small sample approxi\-mations ⋮ Rank-Based Inference for Multivariate Data in Factorial Designs ⋮ Asymptotic expansion for the null distribution of the \(F\)-statistic in one-way ANOVA under non-normality ⋮ Nonparametric methods in multivariate factorial designs for large number of factor levels ⋮ Linear transformations to symmetry ⋮ Testing the equality of a large number of means of functional data ⋮ Asymptotics for tests on mean profiles, additional information and dimensionality under non-normality ⋮ Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches

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