Methods for fitting equations with two or more non-linear parameters
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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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2020 ◽
Vol 24
(5)
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pp. 325-331
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1982 ◽
Vol 6
(1)
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pp. 1-28
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1992 ◽
Vol 14
(1)
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pp. 25-45
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1989 ◽
Vol 29
(6)
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pp. 184-190
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