1965
DOI: 10.1021/ie50672a006
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Estimation of Parameters for Nonlinear Least Squares Analysis

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Cited by 58 publications
(28 citation statements)
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“…To reduce the correlation between the frequency factor and activation energy, reparameterization was applied. 2,[30][31][32] The Arrhenius equation of the rate constant was as follows…”
Section: Estimation Of Kinetic Parametersmentioning
confidence: 99%
“…To reduce the correlation between the frequency factor and activation energy, reparameterization was applied. 2,[30][31][32] The Arrhenius equation of the rate constant was as follows…”
Section: Estimation Of Kinetic Parametersmentioning
confidence: 99%
“…Consequently, the weight factor estimation for the yield objective function is 0.99, whereas that for the end time is 0.01. The kinetic constants have been reparameterized [16,17] in order to reduce the correlation between the estimations of frequency factor and activation energy. Consequently, the parameters calculated are the kinetic constants for a reference temperature (550 • C) and the corresponding activation energies.…”
Section: Modelling Of the Different Kinetic Schemesmentioning
confidence: 99%
“…The use of this equation will necessitate the inclusion of an equa-tion solving routine, perhaps based upon the Newton-Raphson method, with the nonlinear estimation routine so that the sum of squares of residual conversions may be minimized. Such a procedure of combining nonlinear estimation with other special purpose subroutines has also been discussed in another context (9,10). In our case, however, this nonlinear least squares analysis requires the estimation of only two parameters, rather than the three to six parameters which often must be estimated for Hougen-Watson models.…”
Section: Using a Dependent Variable V ( W / F ) In Equation ( 7 )mentioning
confidence: 99%