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PubMed · 7172638

Fitting biological equations to data using non-parametric methods.

G L Atkins
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Abstract

Simulated experimental data were generated for these equations: a straight line, the integrated Michaelis--Menten equation, plus a linear term, the Hill equation, a two-exponential function and a double Michaelis--Menten equation. The equations were fitted to the data using (i) least-squares and (ii) non-parametric methods. The precision and accuracy of the parameter estimates obtained by each method were compared and the methods assessed. For several of the equations, non-parametric methods provided robust techniques for parameter estimation. For the remainder, the results were poor. The reasons for this are discussed.

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BibTeXRIS

G L Atkins. 1982. Fitting biological equations to data using non-parametric methods.. https://doi.org/10.1016/0010-4825(82)90002-6

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