Linear Gaussian Model

This model assumes that the data has been "altered" by some random vector which is independent identically normally distributed with Expectation zero and some Variance bigger than zero.

Then also the data is normally distributed which allows for construction of tests and confidence regions for parameters.

This model is (quite surprisingly for me now) robust against deviations from the Normal Distribution.