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Statistical assumptions underlying the fitting of the Michaelis-Menten equation

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  • U. S. Pasaribu

Abstract

An experiment was carried out to test the various assumptions usually made when evaluating statistical procedures for estimating the parameters of the Michaelis Menten equation, which describes enzyme-catalyzed reactions. The usual assumption of normality is not strongly supported, but is probably not too unreasonable. We study the variation in experimental results and, in consequence, a more complex model is proposed, which incorporates extra components of variation associated with substrate levels and diff erent days. The model is fitted using the EM algorithm.

Suggested Citation

  • U. S. Pasaribu, 1999. "Statistical assumptions underlying the fitting of the Michaelis-Menten equation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(3), pages 327-341.
    • Handle: RePEc:taf:japsta:v:26:y:1999:i:3:p:327-341
    DOI: 10.1080/02664769922449
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    Cited by:

    1. Elham Yousefi & Werner G. Müller, 2023. "Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(1), pages 31-56, April.

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