Designs for generalized linear models with random block effects via information matrix approximations
From MaRDI portal
Publication:3455814
DOI10.1093/biomet/asv005zbMath1452.62551arXiv1412.4355OpenAlexW1921694895MaRDI QIDQ3455814
Timothy W. Waite, David C. Woods
Publication date: 11 December 2015
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1412.4355
krigingbinary responseBayesian designgeneralized linear mixed modelquasilikelihoodcount responseblocked experimentoutcome enumeration
Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12) Statistical block designs (62K10)
Related Items (8)
Optimal designs for discrete-time survival models with random effects ⋮ Robust population designs for longitudinal linear regression model with a random intercept ⋮ A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature ⋮ Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests ⋮ Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method ⋮ Evaluation of Combinatorial Optimisation Algorithms for c-Optimal Experimental Designs with Correlated Observations ⋮ \(D\)-optimal design for a model with interaction between a qualitative and a quantitative factor in the presence of random block effects ⋮ Approximations of the information matrix for a panel mixed logit model
This page was built for publication: Designs for generalized linear models with random block effects via information matrix approximations
