DOE Qualitative factors III

In course

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Description

This lecture covers advanced topics in Design of Experiments (DOE) focusing on qualitative factors such as Latin squares, factorial designs, Graeco-Latin squares, and hyper-Graeco-Latin squares. The instructor explains the comparison between different models, the concept of sweeping, and the distance between the model and reality. Additionally, the lecture delves into the analysis of sums of squares, degrees of freedom, Fisher's ratio, ANOVA tables, and the Fisher distribution, providing insights into experimental design and statistical analysis.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_23jwui1h

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Data collection: Design of experiments

Data analysis: Regression analysis

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