A transofmration/weighting model for estimating Michaelis-Menten parameters
RIS ID
73041
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.
COinS
Publication Details
Ruppert, D. R., Cressie, N. A. & Carroll, R. J. (1989). A transofmration/weighting model for estimating Michaelis-Menten parameters. Biometrics, 45 (2), 637-656.