Lectures related to Central composite design

Explores fractional factorial design basics, including blocking alias, interaction effects, and design comparison.

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Covers the design of a catapult experiment and higher order equations.

Explores qualitative factors in experimental design, factorial strategies, model computation, and practical exercises in Matlab.

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

Explores fractional factorial design, emphasizing main effects and interactions in experimental design.

Covers the basics of ANOVA using a case study on sleeping pill effectiveness.

Explores advanced surface response designs and optimization trade-offs.

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Explores canonical analysis, classic plans, and the simplex method in experimental designs.

Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Covers the design and analysis of experiments, focusing on statistics for experimenters.

Explores exploiting redundancies, confounding effects, and analyzing fractional factorials in experimental designs.

Explores the visualization and selection of effects in a 2N Full Factorial Design using the Normal plot method.

Explores qualitative factors in Design of Experiments, including statistical tests and error types.