A matrix trigonometry developed chiefly by this author during the past 40 years has interesting applications to certain situations in statistics. The key conceptual entity in this matrix trigonometry is the matrix (maximal) turning angle. Associated entities (originally so-named by this author) are the matrix antieigenvalues and corresponding antieigenvectors upon which the matrix obtains its critical turning angles. Because this trigonometry is the natural one for linear operators and matrices, it also is the natural one for matrix statistics.
Publié le : 2006-08-14
Classification:
Operator trigonometry,
Antieigenvalue,
Antieigenvector,
Parameter estimation,
Watson statistical efficiency,
Canonical correlation,
Rayleigh-Ritz theory
@article{1153748792,
author = {Gustafson, Karl},
title = {The Trigonometry of Matrix Statistics},
journal = {Internat. Statist. Rev.},
volume = {74},
number = {1},
year = {2006},
pages = { 187-202},
language = {en},
url = {http://dml.mathdoc.fr/item/1153748792}
}
Gustafson, Karl. The Trigonometry of Matrix Statistics. Internat. Statist. Rev., Tome 74 (2006) no. 1, pp. 187-202. http://gdmltest.u-ga.fr/item/1153748792/