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Modified Robust Ridge M-Estimators in Two-Parameter Ridge Regression Model

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  • Seyab Yasin
  • Sultan Salem
  • Hamdi Ayed
  • Shahid Kamal
  • Muhammad Suhail
  • Yousaf Ali Khan

Abstract

The methods of two-parameter ridge and ordinary ridge regression are very sensitive to the presence of the joint problem of multicollinearity and outliers in the y -direction. To overcome this problem, modified robust ridge M-estimators are proposed. The new estimators are then compared with the existing ones by means of extensive Monte Carlo simulations. According to mean squared error (MSE) criterion, the new estimators outperform the least square estimator, ridge regression estimator, and two-parameter ridge estimator in many considered scenarios. Two numerical examples are also presented to illustrate the simulation results.

Suggested Citation

  • Seyab Yasin & Sultan Salem & Hamdi Ayed & Shahid Kamal & Muhammad Suhail & Yousaf Ali Khan, 2021. "Modified Robust Ridge M-Estimators in Two-Parameter Ridge Regression Model," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-24, September.
    • Handle: RePEc:hin:jnlmpe:1845914
    DOI: 10.1155/2021/1845914
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