Comparison Of Least Squares, Ridge Regression And Principal Component Approaches In The Presence Of Multicollinearity In Regression Analysis
Abstract
The aim of this study was to compare estimation methods: least squares method (LS), ridge
regression (RR), Principal component regression (PCR) to estimate the parameters of multiple
regression model in situations when the underlying assumptions of leas
URI
https://app.trdizin.gov.tr/makale/TXpVME9ERXhNUT09/comparison-of-least-squares-ridge-regression-and-principal-component-approaches-in-the-presence-of-multicollinearity-in-regression-analysishttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/18429
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