Premium
Application of random‐search algorithm for regression analysis of catalytic hydrogenations
Author(s) -
Belohlav Zdenek,
Zamostny Petr,
Kluson Petr,
Volf Jiri
Publication year - 1997
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450750411
Subject(s) - confidence interval , mathematics , kinetic energy , statistics , algorithm , regression analysis , estimation theory , regression , random error , computer science , mathematical optimization , physics , quantum mechanics
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.