Design of experiments with unknown parameters in variance

DOI10.1002/asmb.474zbMath1010.62069OpenAlexW1982335527MaRDI QIDQ4797846

Robert C. Gagnon, Sergei L. Leonov, Valerii V. Fedorov

Publication date: 9 March 2003

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asmb.474

zbMATH Keywords

locally optimal designsiterated estimatorsunknown parameters in variance

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Optimal statistical designs (62K05)

Related Items (12)

D-optimal population designs in linear mixed effects models for multiple longitudinal data ⋮ Parameter Estimation for Models with Unknown Parameters in Variance ⋮ Response surface optimization for a nonlinearly constrained irregular experimental design space ⋮ Optimal design for multivariate observations in seemingly unrelated linear models ⋮ Locally optimal designs for multivariate generalized linear models ⋮ Examples of the use of an equivalence theorem in constructing optimum experimental designs for random-effects nonlinear regression models ⋮ PkStaMp Library for Constructing Optimal Population Designs for PK/PD Studies ⋮ Workweek optimization of experimental designs: exact designs for variable sampling costs ⋮ The design of multicentre trials ⋮ The design of multicentre trials ⋮ Design Optimization in Nonlinear Mixed Effects Models Using Cost Functions: Application to a Joint Model of Infliximab and Methotrexate Pharmacokinetics ⋮ Bayesian Experimental Design for Nonlinear Mixed‐Effects Models with Application to HIV Dynamics

Cites Work

• Model-oriented design of experiments
• Quasi-likelihood and its application. A general approach to optimal parameter estimation
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