Application of random-search algorithm for regression analysis of catalytic hydrogenations |
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Authors: | Zdenek Belohlav Petr Zamostny Petr Kluson Jiri Volf |
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Abstract: | A short review of the works concerning parameter estimation in kinetic experiments was performed. An adaptive random search algorithm was applied to evaluate the parameters and parameter confidence intervals of Langmuir-Hinshelwood models. The kinetic parameters were determined using the Box - Draper criterion. The parameter confidence regions were found by using the likelihood ratio. Three heterogeneously catalyzed hydrogenations were studied. |
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Keywords: | experiment evaluation non-linear regression confidence regions likelihood ratio |
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