Minimax prediction in the linear model with a relative squared error
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Publication:434388
DOI10.1007/s00362-010-0325-6zbMath1241.62106OpenAlexW1987895781MaRDI QIDQ434388
Publication date: 10 July 2012
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-010-0325-6
Multivariate analysis (62H99) Linear regression; mixed models (62J05) Minimax procedures in statistical decision theory (62C20)
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Cites Work
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- Minimax estimation in linear regression with singular covariance structure and convex polyhedral constraints
- Minimax linear regression estimation with symmetric parameter restrictions
- Another view of the Kuks-Olman estimator
- Minimax estimation in linear regression under restrictions
- Relative squared error prediction in the generalized linear regression model
- Minimax estimation in the linear model with a relative squared error
- Linear models. Least squares and alternatives
- Minimax estimation in linear regression with ellipsoidal constraints
- Characterization of minimax linear estimators in linear regression
- Quasi minimax estimation in the linear regression model
- A minimax linear estimator for linear parameters under restrictions in form of inequalities
- Bayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter Space
- Linear Statistical Inference and its Applications
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