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  A comparison of mixed and minimax estimators of linear models
 
 
Title: A comparison of mixed and minimax estimators of linear models
Author: Terasvirta, Timo
Appeared in: Communications in statistics
Paging: Volume 10 (1981) nr. 17 pages 1765-1778
Year: 1981
Contents: In this paper the stochastic properties of two estimators of linear models, mixed and minimax, based on different types of prior information, are compared using quadratic risk as the criterion for superiority. A necessary and sufficient condition for the minimax estimator to be superior to the comparable mixed estimator is derived as well as a simpler necessary but not sufficient condition.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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