Influence analysis on exponential nonlinear models with random effects

This paper presents a unified diagnostic method for exponential nonlinear models with random. effects based upon the joint likelihood given by Robinson in 1991. The authors show that the case deletion model is equivalent to mean shift outlier model. From this point of view, several diagnostic measures, such as Cook distance, score statistics axe derived. The local influence measure of Cook is also presented. Numerical example illustrates that our method is available.