When probability models are invoked to describe the times between important events in reliability, traffic and congestion, inventory, and certain medical studies, the exponential distribution and Poisson process play a special role. Feller [3] provides intuitively appealing examples; the book by Cox and Lewis [2] discusses modelling and inference questions concerning point processes in general, and the Poisson and near-Poisson processes in particular. Many other treatments may be found in the literature. This paper is specially concerned with the statistical estimation of the tail of the exponential distribution or equivalently the zero term of the Poisson probability distribution:
No takes yet. Share an insight, caveat, or question.
Gaver et al. (1970) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: