Authors: Gilberg, Frank
Urfer, Wolfgang
Title: Heteroscedastic nonlinear regression models with random effects
Language (ISO): en
Abstract: We discuss an extansion of the nonlinear random effects model from Lindstrom and Bates (1990) by adding a flexible transformation to both sides of the model (see Carroll and Ruppert (1988)) and describe a procedure for parameter estimation. This method combines pseudo maximum likelihood estimators for the transform-both-sides and weighting model and maximum likelihood (or restricted maximum likelihood) estimatiors for the linear mixed effects models. A validation of this new method is performed by analyzing a simulated set of enzyme kinetic data published by Jones (1993).
Subject Headings: enzyme kinetics
nonlinear regression
Pseudo likelihood estimation
random effects
repeated measures data
transformation and weighting
Issue Date: 1998
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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