Fuzzy prior information and minimax estimation in the linear regression model

DOI10.1007/BF02925995zbMath0932.62073OpenAlexW1983447203MaRDI QIDQ1381189

Peter Stahlecker, Bernhard F. Arnold

Publication date: 14 March 2000

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02925995

zbMATH Keywords

fuzzy prior information

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear inference, regression (62J99) Minimax procedures in statistical decision theory (62C20)

Related Items (1)

Quasi-Minimax Estimation in the Linear Model with Measurement Errors

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Linear Bayes and minimax estimation in linear models with partially restricted parameter space
• Minimax linear regression estimation with symmetric parameter restrictions
• A numerical method for an approximate minimax estimator in linear regression
• Introduction to fuzzy methods: theory and application of fuzzy sets
• Linear minimax estimation with ellipsoidal constraints
• On the equivalence of spectral theory and Bayesian analysis in minimax linear estimation
• Spectral theory of minimax estimation
• Characterization of minimax linear estimators in linear regression
• Quasi minimax estimation in the linear regression model
• Minimax-linear and theil estimator for restrained regression coefficients
• 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 and ellipsoidal restrictions in linear regression
• Fuzzy sets

This page was built for publication: Fuzzy prior information and minimax estimation in the linear regression model