Historical development of generalised linear models

In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional regression models assumed linearity, independence and homogeneity of variance of the errors. Heterogeneous data, skewed data or data, where the response