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                                       Details for article 2 of 18 found articles
 
 
  Approximate minimax estimation in linear regression: a simulation study
 
 
Title: Approximate minimax estimation in linear regression: a simulation study
Author: Lauterbach, Jorg
Stahlecker, Peter
Appeared in: Communications in statistics
Paging: Volume 17 (1988) nr. 1 pages 209-227
Year: 1988
Contents: Let the parameter vector of the ordinary linear re-gression model be constrained to a given ellipsoid. Incorporating this kind of prior information into the estimation procedure, we obtain a sequence of approxi-mate minimax estimators. It can be shown that a cluster point of this sequence is an exact minimax estimator. In a simulation study this minimax estimator is com-pared with the least squares estimator and some other competing estimators.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 18 found articles
 
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