Hierarchical-likelihood approach for nonlinear mixed-effects models

DOI10.1016/j.csda.2007.10.026zbMath1452.62544OpenAlexW2083978174MaRDI QIDQ1023689

Youngjo Lee, Maengseok Noh

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.026

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Related Items (5)

Conditional Akaike information criterion for generalized linear mixed models ⋮ Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates ⋮ Likelihood inference for models with unobservables: another view ⋮ A penalized h-likelihood variable selection algorithm for generalized linear regression models with random effects ⋮ Inference in HIV dynamics models via hierarchical likelihood

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