Comparison between Several Regression Models
Xiao Cui Yin
Abstract
Xiao Cui Yin
Abstract
This paper study ordinary linear regression and ridge regression, ridge regression includes ordinary ridge regression (ORR) and generalized ridge regression (GRR). Comparison between these methods are made by an example, the results show that ridge regression has smaller standard deviation and MSE than OLS, and among all the methods, GRR is better than others.
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This paper study ordinary linear regression and ridge regression, ridge regression includes ordinary ridge regression (ORR) and generalized ridge regression (GRR). Comparison between these methods are made by an example, the results show that ridge regression has smaller standard deviation and MSE than OLS, and among all the methods, GRR is better than others.
Key concepts: Ridge, Regression, Regression analysis, Linear regression, Ordinary least squares, Statistics, Polynomial regression, Mathematics