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Abstract:
In this paper, the authors address the problem of the minimax estimator of linear combinations of stochastic regression coefficients and parameters in the general normal linear model with random effects. Under a quadratic loss function, the minimax property of linear estimators is investigated. In the class of all estimators, the minimax estimator of estimable functions, which is unique with probability 1, is obtained under a multivariate normal distribution.
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ACTA MATHEMATICA SINICA-ENGLISH SERIES
ISSN: 1439-8516
Year: 2007
Issue: 3
Volume: 23
Page: 497-506
0 . 7 0 0
JCR@2022
ESI Discipline: MATHEMATICS;
JCR Journal Grade:2
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WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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