A new biased estimator based on ridge estimation

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On some beta ridge regression estimators: method, simulation and application (2021, methodology): “However, many biased estimators have been introduced to combat multicollinearity in linear regression, such as Stein estimator [4], principal component estimator [5], ridge regression estimator [6], improved ridge estimators [7] contraction estimator [8], modified ridge regression estimator [9], Liu”
A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model (2020, background): “To overcome these problems, many authors have introduced different kinds of one- and two-parameter estimators: to mention a few, Stein [2], Massy [3], Hoerl and Kennard [1], Mayer and Willke [4], Swindel [5], Liu [6], Akdeniz and Kaçiranlar [7], Ozkale and Kaçiranlar [8], Sakallıoglu and Kaçıranlar ”