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Lecture
Qualitative factors II
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Related lectures (31)
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Design of Experiments: Efficiency and Interactions
Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.
Full Factorial Design Introduction
Covers the basics of full factorial design, coding, graphical outputs, and data analysis.
Fractional Factorial Designs: Understanding Interactions
Covers fractional factorial designs to efficiently study interactions in experiments, focusing on aliasing, geometric interpretation, and effect selection.
Fractional factorial design: Basics and Applications
Explores fractional factorial design basics, including blocking alias, interaction effects, and design comparison.
Fractional Factorial Design: Main Effects and Interactions
Explores fractional factorial design, emphasizing main effects and interactions in experimental design.
Fractional Factorial Example and Higher Order Equations
Covers the design of a catapult experiment and higher order equations.
Design of Experiments: Statistical Design and Analysis
Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.
DOE Qualitative factors III
Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.
Introduction to Fractional Factorial Designs
Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.
Model Formulas in R: Basics and Applications
Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.