Optimal designs for comparing population curves in hierarchical models

DOI10.1016/j.spl.2021.109192zbMath1473.62266OpenAlexW3185744615MaRDI QIDQ2244605

Xin Liu, Min Ye, Rong-Xian Yue

Publication date: 12 November 2021

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2021.109192

zbMATH Keywords

equivalence theoremhierarchical modeloptimal designcomparing regression curves

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05)

Related Items (1)

Optimal designs for comparing curves in regression models with asymmetric errors

Cites Work

• Optimal designs for comparing curves
• The optimality of single-group designs for certain mixed models
• General equivalence theory for optimum designs (approximate theory)
• Model-oriented design of experiments
• Optimal designs for comparing regression models with correlated observations
• Various optimality criteria for the prediction of individual response curves
• Optimal designs in multiple group random coefficient regression models
• Optimal designs for minimax-criteria in random coefficient regression models
• Considerations on group-wise identical designs for linear mixed models
• Equivalence of Regression Curves
• Optimal Designs for the Prediction of Individual Parameters in Hierarchical Models
• Assessing Nonsuperiority, Noninferiority, or Equivalence When Comparing Two Regression Models Over a Restricted Covariate Region

This page was built for publication: Optimal designs for comparing population curves in hierarchical models