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.