Review and classications of the ridge parameter estimation techniques

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A Modified New Two-Parameter Estimator in a Linear Regression Model (2019, methodology): “[17] A. F. Lukman, K. Ayinde, and A. S. Ajiboye, “Monte Carlo study of some classification-based ridge parameter estimators,” Journal of Modern Applied Statistical Methods, vol. 16, no. 1, pp. 428–451, 2017.”
Modified ridge‐type estimator to combat multicollinearity: Application to chemical data (2019, unknown): “Consider the linear regression model y 1⁄4 Xβþ ε; εeN 0; σ(2)I ; (1)”
A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model (2020, methodology): “[19], Kibria [20], Kibria and Banik [21], Lukman and Ayinde [22], Mansson et al.”