Observation error can lead to substantial bias in estimating the param
eters of a population model. While maximum-likelihood estimation is po
ssible in principle, it can be extremely difficult in practice due to
the complicated behavior of the likelihood function. This note describ
es a simple method that can be used to fit a population model in the p
resence of observation error. The method is illustrated using the disc
rete-time logistic model.