Author Login IJIRT Partner Network (IPN) Login

A Convex Combination Method of Subset Selection Criterion in a Linear Regression

  • Unique Paper ID: 166969
  • Volume: 11
  • Issue: 3
  • PageNo: 113-118
  • Abstract:
  • In multiple linear regression analysis, problem multicollinearity and outliers are the two serious issues. Due to these problems, the ordinary least squares(OLS) method does not yield good estimates to the regression parameters. When such a situation arise, there are various methods to estimate the optimum estimates to the regression parameters and one such is called subset selection methods. Several authors have been suggested various modes of subset selection methods based on OLS methods, which are sensitive to multicollinearity, heteroscadesticity, non-normal error distribution, etc. In order to overcome the problem of these factors, here we suggest a new method of obtaining the good estimates to the regression parameters by selecting a good subset model, and we called it as Weighted Method of Subset Selection Criteria. It is obtained by shrinking the GSp and MGSp criterions using convex combination concepts. The performance of the suggested criteria is evaluated empirically and compared with some of the existing methods of subset selection criterions. Empirical results indicate that the proposed criteria performs better in presence of both multicollinearity and outliers.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 3
  • PageNo: 113-118

A Convex Combination Method of Subset Selection Criterion in a Linear Regression

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry