Lecture
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.