Akdeniz, EsraAkdeniz, FikriRoozbeh, Mahdi12.07.20192019-07-1212.07.20192019-07-1220180233-18881029-4910https://doi.org/10.1080/02331888.2018.1511715https://hdl.handle.net/20.500.12507/501WOS: 000456971300005In this paper, a generalized difference-based estimator is introduced for the vector parameter beta in the partially linear model when the errors are correlated. A generalized difference-based Liu estimator is defined for the vector parameter beta. Under the linear stochastic constraint r = R beta + e, a new generalized difference-based weighted mixed Liu estimator is introduced. The performance of this estimator over the generalized difference-based weighted mixed estimator and the generalized difference-based Liu estimator in terms of the mean squared error matrix criterion is investigated. Then, a method to select the biasing parameter d and non-stochastic weight. is considered. The efficiency properties of the newestimator are illustrated by a simulation study. Finally, the performance of the new estimator is evaluated for a real data set.eninfo:eu-repo/semantics/openAccessDifference-Based EstimatorGeneralized Liu EstimatorGeneralized Difference-Based Weighted Wixed Liu EstimatorPartially Linear ModelWeighted Mixed EstimatorArticle52613091327WOS:0004569713000052-s2.0-8505307025710.1080/02331888.2018.1511715Q4Q4