Plackett-Burman Design: Hadamard Matrix

In course

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Description

This lecture covers the Plackett-Burman Design, focusing on the construction and application of Hadamard matrices for efficient estimation of main effects without interactions. It explains the least squares fit for Hadamard matrices, the optimality of VIF, variance function, and de-aliazing techniques. The lecture also discusses the use of Hadamard designs in optimizing factors for a bicycle race.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_sznlv9lf

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Data collection: Design of experiments

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