A set of desert vegetation-environment data consisting of 22 concrete communities in Southern Sind was analyzed with two multivariate methods, viz. canonical correlation analysis (CCA) and principal ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

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 ...

Distance-based methods have been a valuable tool for ecologists for decades. Indirectly, distance-based ordination and cluster analysis, in particular, have been widely practiced as they allow the ...

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) ...

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), ...

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 ...