Authors: | Brunnert, Marcus Gilberg, Frank |
Title: | Parameter Estimation in Enzyme-Kinetics with Consideration of Heteroscedasticity and Low Dose Data |
Language (ISO): | en |
Abstract: | In this paper we propose a simulation study in order to discuss four statistical models dealing with the problem of parameter estimation in enzyme-kinetics. The pseudo-maximum-likelihood estimators for the transform-both-sides-model and the weighted TBS-model are compared with least-square-estimators of the classical nonlinear regression model and the linearized Eadie-Hofstee-plot. Due to heteroscedasticity of enzyme-kinetic data in low dose experiments the proposed estimators are investigated. |
Subject Headings: | heteroscedastic error variance low dose data Michaelis-Menten-kinetic nonlinear regression model pseudo-maximum-likelihood estimation simulation study |
URI: | http://hdl.handle.net/2003/4941 http://dx.doi.org/10.17877/DE290R-6640 |
Issue Date: | 1999 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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99_49.pdf | DNB | 107.48 kB | Adobe PDF | View/Open |
tr49-99.ps | 761.07 kB | Postscript | View/Open |
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