In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

Revised edition of: Multivariate data analysis with readings. 4th ed. c1995. SERCMAI copy 39088009202680 has bookplate: Smithsonian Libraries Adopt-a-Book program. Adopted by David and Erin Hardy on ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Canonical correlation analysis is a variation on the concept of multiple regression and correlation analysis. In multiple regression and correlation analysis, you examine the relationship between a ...

Summary statistics for full-scale IQ (n=257,828) were obtained from the Social Science Genetic Association Consortium. Genetic correlations between the multivariate GenLang results (blue-green), ...

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation. Given a classification variable and several interval variables, ...

This video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review of the univariate ACE model, and then extend this to two phenotypes as a ...