Design of Experiments in Statistics

Models and Information Matrix. Most of the results in experimental design theory are related to the linear regression models: $$ E\{ y|x\} = \eta ({\theta ^T},x) and Var\{ y|x\} = \sigma 2(x), $$ (17.1.1) where the observation y is a random variable, E and Var stand for expectation and variance, respectively.