Many chemical and biological experiments involve multiple treatment factors and often it is convenient to fit a non-linear model in these factors. This non-linear model can be mechanistic, empirical ...

Virgil L. Anderson, Restriction Errors for Linear Models (An Aid to Develop Models for Designed Experiments), Biometrics, Vol. 26, No. 2 (Jun., 1970), pp. 255-268 ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...