Some contributions to selection and estimation in the normal linear model

We study the choice of the quantity in the FPE criterion for selecting a member of a class of normal linear models having an orthogonal structure. Two approaches are discussed, namely fixing the maximal estimation risk at a prescribed level and using minimax regret. Estimation of the risk actually achieved and an illustrative example are also discussed.This research was supported by the FRD of South Africa.