Full Factorial Design Introduction

Related lectures (32)

Page 2 of 4

Explores fractional factorial designs, from types to analysis and model building.

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

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

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

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.

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

Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

Explores the methodology of fractional factorial designs in experimental setups.

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