Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77130 
Year of Publication: 
1999
Series/Report no.: 
Technical Report No. 1999,49
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
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-maximumlikelihood 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.
Subjects: 
Nonlinear regression model
Pseudo-maximum-likelihood estimation
Heteroscedastic error variance
Michaelis-Menten-kinetic
Low dose data
Simulation study
Document Type: 
Working Paper

Files in This Item:
File
Size
761.07 kB
154.24 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.