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  • Title: Fitting biological equations to data using non-parametric methods.
    Author: Atkins GL.
    Journal: Comput Biol Med; 1982; 12(3):201-15. PubMed ID: 7172638.
    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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