\(D\)- and \(V\)-optimal population designs for the quadratic regression model with a random intercept term

DOI10.1016/j.jspi.2010.08.011zbMath1353.62082OpenAlexW2075334765MaRDI QIDQ607210

Linda M. Haines, Legesse Kassa Debusho

Publication date: 19 November 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.08.011

zbMATH Keywords

\(D\)- and \(V\)-optimalitypopulation designsquadratic regressionrandom intercept

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (12)

Integral approximations for computing optimum designs in random effects logistic regression models ⋮ Robust population designs for longitudinal linear regression model with a random intercept ⋮ \(D\)- and \(V\)-optimal population designs for the quadratic regression model with a random intercept term ⋮ \(R\)-optimal designs in random coefficient regression models ⋮ \(D\)-optimal designs for multi-response linear mixed models ⋮ Robust integer-valued designs for linear random intercept models ⋮ D-Optimal Designs for Paired Observations in Quadratic Regression with Mixed Effects ⋮ \(R\)-optimal designs for individual prediction in random coefficient regression models ⋮ Geometric characterization of \(D\)-optimal designs for random coefficient regression models ⋮ Optimal designs for the prediction of mixed effects in linear mixed models ⋮ \(D\)-optimal designs for hierarchical linear models with heteroscedastic errors ⋮ \(G\)-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm

Cites Work

• \(D\)- and \(V\)-optimal population designs for the quadratic regression model with a random intercept term
• Optimal regression designs in the presence of random block effects
• Optimal designs in growth curve models. II: Correlated model for quadratic growth: Optimal designs for parameter estimation and growth prediction
• Logistic regression with random coefficients
• \(V\)- and \(D\)-optimal population designs for the simple linear regression model with a random intercept term
• Locally Optimal Designs for Estimating Parameters
• Linear mixed models for longitudinal data
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