How do you develop a kinetic model from experimental data?

Methodology: design experiments covering relevant range (T, P, compositions, conversions), use differential reactor or integral reactor with appropriate analysis, propose mechanisms and derive rate expressions, perform regression to estimate parameters with statistical validation (confidence intervals, correlation matrix), check model discrimination (compare rival models using F-test or information criteria), validate against independent data. Use weighted least squares if error variance varies. Global optimization algorithms help avoid local minima. Sensitivity analysis identifies critical parameters.