Surface Response Designs: II

Related lectures (32)

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

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

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

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

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

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

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

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

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.

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