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Use of the mean quadratic error of prediction for the construction of biased linear models

✍ Scribed by Jiří Militký; Milan Meloun

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
408 KB
Volume
277
Category
Article
ISSN
0003-2670

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✦ Synopsis

The main practical problems caused by multi-collinearity are reviewed. The biased estimators based on the generalization of principal components for avoiding multi-collinearity problems are described. The mean quadratic error of prediction criterion is used for the selection of suitable bias. Some advantages of biased regression are demonstrated on the problem of intercept estimation in a polynomial model.

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