Wu, JiboAsar, Yasin2024-02-232024-02-2320170361-09261532-415Xhttps://doi.org/10.1080/03610926.2016.1206936https://hdl.handle.net/20.500.12452/13072In this article, we consider the estimation of a partially linear model when stochastic linear restrictions on the parameter components are assumed to hold. Based on the weighted mixed estimator, profile least-squares method, and ridge method, a weighted stochastic restricted ridge estimator of the parametric component is introduced. The properties of the new estimator are also discussed. Finally, a simulation study is given to show the performance of the new estimator.eninfo:eu-repo/semantics/closedAccessMulticollinearityPartially Linear ModelProfile Least-Squares ApproachStochastic Linear RestrictionsWeighted Mixed EstimatorArticle4618927492832-s2.0-85020176134Q3WOS:000407584900033Q410.1080/03610926.2016.1206936