Optimal regression designs for prediction when prior knowledge is available

DOI10.1007/BF01902868zbMath0346.62054OpenAlexW1970217944MaRDI QIDQ1233706

R. J. Brooks

Publication date: 1976

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/186172

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (1)

Design issues for generalized linear models: a review

Cites Work

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• A MULTIVARIATE GENERALIZATION OF TCHEBICHEV'S INEQUALITY
• On the choice of an experiment for prediction in linear regression
• Bayesian Analysis of the Independent Multinormal Process. Neither Mean Nor Precision Known
• Optimal regression designs with previous observations
• A Remark on the Optimal Regression Designs with Previous Observations of Covey-Crump and Silvey
• A decision theory approach to optimal regression designs

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