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Parameter estimation in enzyme-kinetics with consideration of heteroscedasticity and low dose data

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  • Brunnert, Marcus
  • Gilberg, Frank

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.

Suggested Citation

  • Brunnert, Marcus & Gilberg, Frank, 1999. "Parameter estimation in enzyme-kinetics with consideration of heteroscedasticity and low dose data," Technical Reports 1999,49, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:199949
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