Quasi-minimax estimation in the partial linear model
Jibo Wu
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 6, 2982-2989
Abstract:
This article discusses the minimax estimator in partial linear model y = Zβ + f + ε under ellipsoidal restrictions on the parameter space and quadratic loss function. The superiority of the minimax estimator over the two-step estimator is studied in the mean squared error matrix criterion.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:46:y:2017:i:6:p:2982-2989
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DOI: 10.1080/03610926.2015.1053941
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