Design of Experiments

This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific models in designing statistical experiments.

Factorial Designs | Fractional Factorial Designs | Taguchi Designs - Lean Six Sigma Black Belt Level

Mixture Designs to Optimize Formulations Using R: Simplex Lattice Designs, Simplex Centroid Designs, D-Optimal Designs.

DoE using R: Response Surface Methodology, Lack-of-Fit, Central Composite Designs, Box-Behnken Designs

DoE Using Minitab: From Basics to Plackett-Burman, Full/Fractional Factorial, Response Surface (CCD) Designs