Nelson discussed a method of estimating the cumulative mean function f
or identically distributed processes of recurrent events. We show that
a similar approach can be used with more general models, including re
gression. The key idea is to use point estimates based on Poisson mode
ls and to develop robust variance estimates that are valid more genera
lly. The methods are illustrated on reliability and warranty data.