Rank-Based Methods for Multivariate Linear Models
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Publication:4694191
DOI10.2307/2290719zbMath0779.65093OpenAlexW4251845675MaRDI QIDQ4694191
Joseph W. McKean, James B. Davis
Publication date: 9 January 1994
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2290719
rank testsleast squareslinear modelsmultivariate analysisanalysis of covariancealigned rank statistics\(R\) estimates
Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10) Probabilistic methods, stochastic differential equations (65C99)
Related Items (9)
Rank-Based Analysis of Linear Models and Beyond: A Review ⋮ A New Scale-Invariant Nonparametric Test for Two-Sample Bivariate Location Problem with Application ⋮ Robust reduced-rank modeling via rank regression ⋮ Robust analysis of two-way models with repeated measures on both factors ⋮ On the weighted multivariate Wilcoxon rank regression estimate ⋮ Rank estimating equations for random effects models ⋮ A multivariate Wilcoxon regression estimate ⋮ Robust Multivariate Regression When There is Heteroscedasticity ⋮ The use and interpretation of rank-based residuals
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