Multivariate Statistics: A Vector Space Approach
Morris L. Eaton | 2007-12-31 00:00:00 | Inst of Mathematical Statistic | 512 | Mathematics
Reviews
Eaton provides a well-written treatment of multivariate analysis but with the geometric rather than the algebraic approach. For those who are better at geometry than algebra this approach that involves Euclidean spaces may be easier to understand than the algebraic approach that is common in many leading texts including Anderson. I find this approach to be a little more natural. It is much like the Hilbert space approach to stochastic processes where orthogonality equates to zero correlation or independence in the Gaussian case.
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