2014Applied Mechanics and MaterialsRequires access

Comparison between Several Regression Models

Xiao Cui Yin

Open publisher page 1 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Ridge, Regression, Regression analysis, Linear regression, Ordinary least squares, Statistics, Polynomial regression, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Comparison between Several Regression Models — Research Paper | ScholarLens