Methods of data treatment in kinetics are reviewed from a practical viewpoint. The equations to describe the kinetics of chemical reactions and the methodology to obtain the models are presented. Moreover, the integration methods that are needed for the simulation of complex reactions are explained, from the simple first‐order reaction to the complex general mechanism.
However, it is essential to know the main sources of error in data treatment in order to reduce their effects on the results. Stress is put on the analysis of the errors due to the simplification of complex models. The different factors that influence the kinetics of the reaction are reviewed. How to take advantage of the kinetic information contained in the experimental data with an analytical aim is described. Finally, the propagation of errors in the analytical results is studied, reviewing both the simple univariate methods, used to determine one species, as well as the complex multivariate methods devoted to the determination of multicomponent mixtures.