ON THE WEIGHTED STOCHASTIC RESTRICTED RIDGE REGRESSION AND SHRINKAGE ESTIMATORS

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DC Field	Value	Language
dc.contributor.author	M. I. ALHEETY, B. M. GOLAM KIBRIA	-
dc.date.accessioned	2022-10-26T18:39:06Z	-
dc.date.available	2022-10-26T18:39:06Z	-
dc.date.issued	2018	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/7005	-
dc.description.abstract	The prior information on the restriction of the stochastic restricted linear regression models may reduce the effect of multicollinearity but cannot remove its effect completely from estimation of the parameter of the model. For this reason, two new types of weighted mixed estimators in the stochastic restricted linear regression model are proposed in this paper. The proposed estimators are general estimators which include some other estimators as a special case. We compared the performance of these estimators with some other estimators with respect to the mean squares error criterion. A simulation study has been conducted to illustrate the results	en_US
dc.description.sponsorship	.	en_US
dc.language.iso	en	en_US
dc.publisher	Far East Journal of Mathematical Sciences	en_US
dc.subject	linear restrictions, MSE, ridge regression estimator,	en_US
dc.subject	shrinkage estimator, stochastic restriction	en_US
dc.title	ON THE WEIGHTED STOCHASTIC RESTRICTED RIDGE REGRESSION AND SHRINKAGE ESTIMATORS	en_US
dc.type	Article	en_US
Appears in Collections:	قسم الرياضيات

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