Yuzbasi, BahadirAhmed, S. Ejaz2024-08-042024-08-042015978-3-662-47241-52194-53572194-5365https://doi.org/10.1007/978-3-662-47241-5_67https://hdl.handle.net/11616/968709th International Conference on Management Science and Engineering Management (ICMSEM) -- JUL 21-23, 2015 -- Karlsruhe Inst Technol, Karlsruhe, GERMANYIn this paper, we suggest shrinkage ridge regression estimators for a multiple linear regression model, and compared their performance with some penalty estimators which are lasso, adaptive lasso and SCAD. Monte Carlo studies were conducted to compare the estimators and a real data example is presented to illustrate the usefulness of the suggested methods.eninfo:eu-repo/semantics/closedAccessShrinkage estimationRidge regressionHigh-dimensional dataAsymptotic and simulationBig dataConference Object36279380710.1007/978-3-662-47241-5_672-s2.0-84937485028N/AWOS:000377959100067N/A