A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters
- 1 June 1989
- journal article
- research article
- Published by JSTOR in Biometrics
- Vol. 45 (2) , 637-656
- https://doi.org/10.2307/2531506
Abstract
There has been considerable disagreement about how best to estimate the parameters in Michaelis-Menten models. We point out that many fitting methods are based on different stochastic models, being weighted least squares estimates after appropriate transformation. We propose a flexible model that can be used to help determine the proper transformation and choice of weights. The method is illustrated by examples.This publication has 6 references indexed in Scilit:
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