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The Early Use of Matrix Diagonal Increments in Statistical Problems
Author(s) -
Walter W. Piegorsch,
George Casella
Publication year - 1989
Publication title -
siam review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.683
H-Index - 120
eISSN - 1095-7200
pISSN - 0036-1445
DOI - 10.1137/1031089
Subject(s) - diagonal , mathematics , diagonal matrix , ridge , matrix (chemical analysis) , main diagonal , inversion (geology) , nonlinear system , design matrix , linear least squares , mathematical optimization , statistics , regression analysis , linear model , geometry , geology , physics , geography , cartography , paleontology , materials science , structural basin , quantum mechanics , composite material
he early motivation for and development of diagonal increments to ease matrix inversion in least squares (LS) problems is discussed. It is noted that this diagonal incrementation evolved from three major directions: modification of existing methodology in nonlinear LS, utilization of additional information in linear regression, and improvement of the numerical condition of a matrix. The interplay among these factors and the advent of ridge regression are considered in a historical and comparative framework

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