In the analysis of data it is often assumed that observations y 1, y 2,..., yn are independently
normally distributed with constant variance and with expectations specified by a model
linear in a set of parameters θ. In this paper we make the less restrictive assumption that
such a normal, homoscedastic, linear model is appropriate after some suitable
transformation has been applied to the y's. Inferences about the transformation and about ...