Akdeniz, FikriRoozbeh, Mahdi12.07.20192019-07-1212.07.20192019-07-1220170361-09261532-415Xhttps://doi.org/10.1080/03610926.2017.1295075https://hdl.handle.net/20.500.12507/518WOS: 000415803800020In this paper, a generalized difference-based estimator is introduced for the vector parameter in partially linear model when the errors are correlated. A generalized-difference-based almost unbiased two-parameter estimator is defined for the vector parameter . Under the linear stochastic constraint r = R + e, we introduce a new generalized-difference-based weighted mixed almost unbiased two-parameter estimator. The performance of this new estimator over the generalized-difference-based estimator and generalized- difference-based almost unbiased two-parameter estimator in terms of the MSEM criterion is investigated. The efficiency properties of the new estimator is illustrated by a simulation study. Finally, the performance of the new estimator is evaluated for a real dataset.eninfo:eu-repo/semantics/openAccessDifference-Based EstimatorGeneralized-difference-based almost unbiased ridge estimatorGeneralized-difference-based weighted mixed almost unbiased two-parameter ridge estimatorPartially lLnear ModelWeighted Mixed EstimatorArticle46241225912280WOS:0004158038000202-s2.0-8502876286410.1080/03610926.2017.1295075Q2Q4