More on the ridge parameter estimators for the gamma ridge regression model: simulation and applications

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  • who: Ahad Yasin et al. from the Department of Statistics, University of Sargodha, Sargodha, Pakistan have published the research work: More on the Ridge Parameter Estimators for the Gamma Ridge Regression Model: Simulation and Applications, in the Journal: Mathematical Problems in Engineering 13 of 17/Dec/2021
  • what: As the different models have different best ridge estimators to deal the issue of multicollinearity, so, the main aim of this study is to adapt several methods for estimating the ridge parameter k in the GRR model. The authors compare the performance of the MLE and the . . .

     

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