An extension of the General Equivalence Theorem to nonlinear models

Abstract

SUMMARY The General Equivalence Theorem of Kiefer and Wolfowitz is extended to nonlinear models. For this an analogue of the variance function is introduced. The results are extended to optimum designs when not all the parameters are of interest.