Comparison of Least Squares, Ridge Regression and Principal Component Approaches in the Presence of Multicollinearity in Regression Analysis

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 least squares estimation are untenable because of m...

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Bibliographic Details
Main Authors: Soner Çankaya, Samet Eker, Samet Hasan Abacı
Format: Article
Language:English
Published: Hasan Eleroğlu 2019-08-01
Series:Turkish Journal of Agriculture: Food Science and Technology
Subjects:
Online Access:http://www.agrifoodscience.com/index.php/TURJAF/article/view/2515
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