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dc.contributor.authorMustafa Ismaeel Alheety, B. M. GOLAM KIBRIA-
dc.date.accessioned2022-10-26T18:35:43Z-
dc.date.available2022-10-26T18:35:43Z-
dc.date.issued2012-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/7003-
dc.description.abstractIn this article, we introduced a new Liu-type estimator which includes the ordinary least squares estimator OLS , ordinary ridge regression estimator ORR , Liu estimator LE , k − d class estimator, principal components regression PCR estimator, r − d class estimator, and r − k class estimator. Under some conditions, the performance of the proposed estimator is superior to the other estimators by using the scalar mean squares error criterion. A simulation study has been conducted to compare the performance of the estimators. Finally, a numerical example has been analyzed to illustrate the theoretical results of the article.en_US
dc.language.isoenen_US
dc.publisherCommunications in Statistics - Theory and Methodsen_US
dc.subjectr − d class estimator; r − k class estimatoren_US
dc.subjectLiu estimator; Mean squares error; Multicollinearity;en_US
dc.titleModified Liu-Type Estimator Based on (r - k) Class Estimatoren_US
dc.typeArticleen_US
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