Notes on topics in experiment design, including
factorial and fractional factorial designs, composite designs,
Monte Carlo, and general linear models.
https://github.com/charlesreid1/experiment-design-notes
An introduction to concepts and notation in experiment design.
Basics of creating linear response surface models.
Goodness of fit measures for determining how well a response surface model represents the underlying variance in the data.
Applying least squares models to the response surface methodology.
Monte Carlo method to sample response surface input variable distributions.