Modeling Qualitative Factors

This lecture covers the modeling of qualitative factors in experimental design, including the use of pseudo-tensors and programming inference. It discusses the comparison of models obtained through factorial plans and Latin squares, as well as the Greco-Latin square design. The lecture also delves into Youden squares, balanced designs, and concludes with ANOVA analysis and dot plots. Practical applications using MATLAB routines are demonstrated, emphasizing the interpretation of coefficients and residuals. The lecture showcases the importance of understanding interactions between factors and the significance of model fit in experimental data analysis.