Reduced factorial design outperforms full and fractional designs in experiments.
The article compares different ways of designing experiments to see which one gives the best results. They looked at full, fractional, and reduced factorial designs to see which one worked the best. By using real data and simulations, they found that the reduced factorial design was the most effective when there were no restrictions on choosing factors for the model. This means that focusing on the most important factors can lead to better outcomes in experiments.