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A least-squares method for fitting the hill equation to data from several animals

✍ Scribed by I.A. Nimmo; Anne Bauermeister

Publisher: Elsevier Science
Year: 1977
Tongue: English
Weight: 246 KB
Volume: 82
Category: Article
ISSN: 0003-2697
DOI: 10.1016/0003-2697(77)90185-3

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✦ Synopsis

The principle of the method is to solve a set of nonlinear simultaneous equations, given initial estimates of the nonlinear parameters (h, the Hill coefficient, and K, the substrate constant). It can be adapted to fit the Hill equation to sets of data with common values of h and K but different maximum velocities, and an example of this is Riven. The method is compared with some published alternatives.

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