Cash (1979) demonstrated that a maximum likelihood estimator based on the Poisson probability distribution can be used to derive best fits and confidence regions.

Castor (unpublished) modified Cash's statistic slightly so that it asymptotes to chi-squared.

Used quite widely but has two drawbacks.

• No background subtraction is possible - everything has to be modelled.

• There is no goodness-of-fit (hypothesis testing).