Literature DB >> 962877

Methods for fitting equations with two or more non-linear parameters.

I A Nimmo, G L Atkins.   

Abstract

1. Descriptions are given of two ways for fitting non-linear equations by least-squares criteria to experimental data. One depends on solving a set of non-linear simultaneous equations, and the other on Taylor's theorem. 2. It is shown that better parameter estimates result when an equation with two or more non-linear parameters is fitted to all the sets of data simultaneously than when it is fitted to each set in turn.

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Year:  1976        PMID： 962877      PMCID： PMC1163877          DOI： 10.1042/bj1570489

Source DB:  PubMed          Journal:  Biochem J        ISSN： 0264-6021            Impact factor:   3.857


  7 in total

1.  A comparison of seven methods for fitting the Michaelis-Menten equation.

Authors:  G L Atkins; I A Nimmo
Journal:  Biochem J       Date:  1975-09       Impact factor: 3.857

2.  Computer programmes for processing enzyme kinetic data.

Authors:  W W CLELAND
Journal:  Nature       Date:  1963-05-04       Impact factor: 49.962

3.  Statistical estimations in enzyme kinetics.

Authors:  G N WILKINSON
Journal:  Biochem J       Date:  1961-08       Impact factor: 3.857

4.  Use of progress curves to investigate product inhibition in enzyme-catalysed reactions. Application to the soluble mitochondrial adenosine triphosphatase.

Authors:  R D Philo; M J Selwyn
Journal:  Biochem J       Date:  1973-11       Impact factor: 3.857

5.  Statistical estimations in enzyme kinetics. The integrated Michaelis equation.

Authors:  H N Fernley
Journal:  Eur J Biochem       Date:  1974-04-01

Review 6.  The statistical analysis of enzyme kinetic data.

Authors:  W W Cleland
Journal:  Adv Enzymol Relat Areas Mol Biol       Date:  1967

7.  A simple digital-computer program for estimating the parameters of the hill equation.

Authors:  G L Atkins
Journal:  Eur J Biochem       Date:  1973-02-15
  7 in total
  2 in total

1.  An evaluation of ways of using equilibrium dialysis to quantify the binding of ligand to macromolecule.

Authors:  I A Nimmo; G L Atkins; R C Strange; I W Percy-Robb
Journal:  Biochem J       Date:  1977-07-01       Impact factor: 3.857

2.  Analysis of progress curves for a highly concentrated Michaelian enzyme in the presence or absence of product inhibition.

Authors:  N Kellershohn; M Laurent
Journal:  Biochem J       Date:  1985-10-01       Impact factor: 3.857
  2 in total

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