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A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are for

Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculu

Building from his lecture notes, Eaton (mathematics, U. of Minnesota) has designed this text to support either a one-year class in graduate-level multivariate c

A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of

Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this tex