Estimating Regression Models of Finite but Unknown Order

Abstract

Examines problems associated with the estimation of the normal linear regression model of finite but unknown sequence of nested alternatives. Estimation criteria for the model selection; Derivation of the numerical bounds on the finite sample distribution; Relation of the estimation criterion functions proposed to other estimation criterion functions.