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Combining Unbiased Ridge and Principal Component Regression Estimators

✍ Scribed by Batah, Feras Sh. M.; Özkale, M. Revan; Gore, S. D.


Book ID
120270241
Publisher
Taylor and Francis Group
Year
2009
Tongue
English
Weight
106 KB
Volume
38
Category
Article
ISSN
0361-0926

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Ridge regression (RR) and principal component regression (PCR) are two popular methods intended to overcome the problem of multicollinearity which arises with spectral data. The present study compares the performances of RR and PCR in addition to ordinary least squares (OLS) and partial least square