Statistical assumptions underlying the fitting of the Michaelis-Menten equation

U. S. Pasaribu

Journal of Applied Statistics, 1999, vol. 26, issue 3, 327-341

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.

Date: 1999
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DOI: 10.1080/02664769922449

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