IMPROVING THE EM ALGORITHM

A modification of the EM algorithm is proposed for situations in which the maximization of the ''complete data'' likelihood function does no t have a closed-form solution. Self-consistency of the modified algori thm is established. Application to carcinogenicity experiments is illu strated, and the results of a simulation study comparing the original and modified versions indicate that use of the proposed modification c an lead to significant computational savings.