Optimal designs for prediction of random effects in two-groups models with multivariate response

DOI10.1016/j.jmva.2023.105212OpenAlexW4384208012MaRDI QIDQ6074728

Maryna Prus

Publication date: 19 September 2023

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2023.105212

zbMATH Keywords

optimality conditionmixed modelexperimental designmultivariate responsebest linear unbiased prediction (BLUP)multiple-group model

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Multivariate analysis (62Hxx)

Related Items (1)

Optimal designs for prediction in random coefficient regression with one observation per individual

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• General equivalence theory for optimum designs (approximate theory)
• Computing optimal experimental designs with respect to a compound Bayes risk criterion
• \(D\)-optimal designs for multi-response linear mixed models
• Equivalence theorems for multiple-design problems with application in mixed models
• Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing
• Optimal design in hierarchical random effect models for individual prediction with application in precision medicine
• Considerations on group-wise identical designs for linear mixed models
• Construction of optimal designs in random coefficient regression models
• Best Linear Unbiased Estimation and Prediction under a Selection Model
• The design of multicentre trials
• Optimal Designs for the Prediction of Individual Parameters in Hierarchical Models

This page was built for publication: Optimal designs for prediction of random effects in two-groups models with multivariate response