Fractional factorial design (FFD) is a statistical method used to study the effects of multiple factors with a reduced number of experiments. This approach is particularly useful in catalysis research, where a large number of variables can influence the outcome of a catalytic process. By focusing on a subset of all possible experiments, researchers can efficiently identify significant factors and interactions.
