• Applied Multivariate Analysis I: Multivariate quality control, data organization, distance, basics of matrix and vector algebra, matrix properties, positive definite matrices, square-root matrix, random vectors and matrices and properties, matrix inequalities and maximization, sample geometry, properties of sample mean vector and covariance matrix, generalized variance, and linear combination of variables. (BMGT 798A) (Back)