Parameter estimation in kinetic models of complex heterogeneous catalytic reactions using Bayesian statistics

Abstract Kinetic analysis of the gas-phase and liquid phase hydrogenation toluene to methylcyclohexane on Ni catalysts was performed. For complex reaction mechanisms comprising several kinetically significant steps, nonlinear regression, while giving an adequate description experimental data, leads kinetic parameters which are poorly defined. The approach based Bayesian statistics allows identification values such most statistically probable.