Fractional Factorial Designs

Related lectures (32)

Page 3 of 4

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

Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.

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

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

Covers the optimization of a workshop through qualitative factors analysis and modeling.

Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.

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

Explores linear regression diagnostic methods, variance analysis, and experimental design concepts.

Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.

Explores ANOVA, factorial experiments, and model evaluation techniques.