Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models

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dc.contributor.authorAkdeniz, Fikri
dc.contributor.authorRoozbeh, Mahdi
dc.contributor.authorAkdeniz, Esra
dc.contributor.authorKhan, Naushad Mamode
dc.date.accessioned2020-11-10T07:07:33Z
dc.date.available2020-11-10T07:07:33Z
dc.date.issued2020en_US
dc.departmentMeslek Yüksek Okuluen_US
dc.description.abstractIn classical linear regression analysis problems, the ordinary leastsquares (OLS) estimation is the popular method to obtain the regression weights, given the essential assumptions are satisfied. However, often, in real-life studies, the response data and its associated explanatory variables do not meet the required conditions, in particular under multicollinearity, and hence results can be misleading. To overcome such problem, this paper introduces a novel generalized differencebased weighted mixed almost unbiased Liu estimator. The performance of this new estimator is evaluated against the classical estimators using the mean squared error. This is followed by an approach to select the Liu parameter and in this context, a non-stochastic weight is also considered. Monte Carlo simulation experiments are executed to assess the performance of the new estimator and subsequently,we illustrate its application to a real-life data exampleen_US
dc.identifier.citationAkdeniz, F., Roozbeh, M., Akdeniz, E., & Khan, N. M. (2020). Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models. Communications in Statistics - Theory and Methods,en_US
dc.identifier.doi10.1080/03610926.2020.1814340
dc.identifier.scopus2-s2.0-85090156118
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://hdl.handle.net/20.500.12507/1518
dc.identifier.wosWOS:000566639600001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofCommunications in Statistics - Theory and Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDifferencing matrixen_US
dc.subjectMulticollineariten_US
dc.subjectGeneralized differenceen_US
dc.subjectAlmost unbiased Liuen_US
dc.subjectSemiparametric regressionen_US
dc.titleGeneralized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models
dc.typeArticle

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