The primary goal of this short course is to help researchers with multivariate data better visualize and understand their data using multivariate analysis tools. In this course, we will focus on ...

Multivariate analysis of variance (MANOVA) is an extension of the commonly used analysis of variance (ANOVA) method, allowing statistical comparisons across three or more groups of data and involving ...

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 ...

Sidney Resnick, On the Foundations of Multivariate Heavy-Tail Analysis, Journal of Applied Probability, Vol. 41, Stochastic Methods and Their Applications (2004), pp. 191-212 ...

When the covariance matrix for the vector renders univariate analysis of variance inappropriate, it is possible to use a variety of procedures to execute particular aspects of the analysis of such ...

Multivariate Analysis of Prognostic Factors Multivariate Cox regression analysis of the 2,313 patients with stage III disease was initially performed with eight pathologic and clinical variables; ...