Admissible Estimators in the General Multivariate Linear Model with Respect to Inequality Restricted Parameter Set | Zendy

Shangli Zhang | Zendy; Gang Liu | Zendy; Wenhao Gui | Zendy

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Admissible Estimators in the General Multivariate Linear Model with Respect to Inequality Restricted Parameter Set

Author(s) -

Shangli Zhang,

Gang Liu,

Wenhao Gui

Publication year - 2009

Publication title -

journal of inequalities and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.735

H-Index - 50

eISSN - 1029-242X

pISSN - 1025-5834

DOI - 10.1155/2009/718927

Subject(s) - mathematics , multivariate statistics , estimator , inequality , set (abstract data type) , linear inequality , econometrics , statistics , mathematical analysis , computer science , programming language

By using the methods of linear algebra and matrix inequality theory, we obtain the characterization of admissible estimators in the general multivariate linear model with respect to inequality restricted parameter set. In the classes of homogeneous and general linear estimators, the necessary and suffcient conditions that the estimators of regression coeffcient function are admissible are established

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