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 |
URI: | http://hdl.handle.net/2003/4880 http://dx.doi.org/10.17877/DE290R-5320 |
Issue Date: | 1998 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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98_17.pdf | DNB | 1.42 MB | Adobe PDF | View/Open |
tr17-98.ps | 1.74 MB | Postscript | View/Open |
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