Optimal designs in multivariate linear models

DOI10.1016/j.spl.2006.08.010zbMath1108.62074OpenAlexW2072330527MaRDI QIDQ876988

Augustyn Markiewicz, Anna Szczepańska

Publication date: 19 April 2007

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

Full work available at URL: https://doi.org/10.1016/j.spl.2006.08.010

zbMATH Keywords

growth curve modelmultivariate modeluniversal optimalityestimable function

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Optimal statistical designs (62K05)

Related Items (7)

\(\Phi\) admissibility for linear estimators on regression coefficients in a general multivariate linear model under balanced loss function ⋮ Φ admissibility of linear estimators of common mean parameter in general multivariate linear models under a balanced loss function ⋮ On MLEs in an extended multivariate linear growth curve model ⋮ \(\Phi\) admissibility of stochastic regression coefficients in a general multivariate random effects model under a generalized balanced loss function ⋮ Simultaneous choice of time points and the block design in the growth curve model ⋮ Optimal designs under a multivariate linear model with additional nuisance parameters ⋮ Regression and Kriging metamodels with their experimental designs in simulation: a review

Cites Work

• Estimation and model selection in an extended growth curve model
• Tests for random-effects covariance structures in the growth curve model with covariates
• A study of the equivalence between a gauss-markoff model and its augmentation by nuisance parameters
• A mixture of the manova and gmanova models
• On dependence structures preserving optimality
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