Robust Measures of Variable Importance for Multivariate Group Designs

Robust Measures of Variable Importance for Multivariate Group Designs

Multivariate Contrasts For Repeated Measures Designs Under Assumption Violations

Outlier test for a group of multivariate observations

Assume that we have m independent random samples each of size n from Np(; ) and our goal is to test whether or not the ith sample is an outlier (i=1,2,…..m). To date it is well known that a test statistics exist whose null distribution is Betta and given the relationship between Betta and F distribution, an F test statistic can be used. In the statistical literature however a clear and preci...

PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OF MIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS

Ant colony optimization algorithms (ACOs) have been basically introduced to discrete variable problems and applied to different research domains in several engineering fields. Meanwhile, abundant studies have been already involved to adapt different ant models to continuous search spaces. Assessments indicate competitive performance of ACOs on discrete or continuous domains. Therefore, as poten...

Running head: REPEATED MEASURES Analyzing Repeated Measures Designs Using Univariate and Multivariate Methods: A Primer

The present paper presents similarities and differences between the univariate and the multivariate analysis of repeated measures designs. Both methods are illustrated by means of an example. When the data are analyzed using the univariate approach and the homogeneity assumption is violated, three correcting factors are presented. When the data are analyzed using the multivariate approach, the ...