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Characterization of Admissible Linear Estimators in the Growth Curve Model with Respect to Inequality Constraints by Shangli Zhang; Zhide Fang; Hong Qin; Litao Han is a Mathematics article available to read on EtoBox.

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In terms of the theory of inequality and the vectorization transformation of a matrix, we study the admissibility problem of linear estimators in growth curve models with inequality constraints. Under the quadratic loss and the matrix loss, we obtain the necessary and sufficient conditions for a linear estimator of estimable/inestimable linear functions being admissible in the homogeneous and inhomogeneous classes separately.

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Author

Shangli Zhang; Zhide Fang; Hong Qin; Litao Han

Publisher

Elsevier ; Elsevier BV; Springer Science and Business Media LLC (ISSN 1226-3192)

Published

2011

Language

EN

Field

Mathematics (Physical Sciences)