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

DOI10.1016/j.jspi.2007.05.037zbMath1130.62071OpenAlexW2035772474MaRDI QIDQ2474393

Legesse Kassa Debusho, Linda M. Haines

Publication date: 6 March 2008

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.2007.05.037

zbMATH Keywords

information matrixlongitudinal dataequivalence theoremlinear regression\(D\)-optimalitypopulation designs\(V\)-optimality

Mathematics Subject Classification ID

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

Related Items (12)

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 ⋮ D-optimal designs for linear mixed model with random effects of Dirichlet process ⋮ \(R\)-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 ⋮ \(R\)-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 ⋮ Optimal Designs for Random Coefficient Regression Models with Heteroscedastic Errors ⋮ \(D\)-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

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