Some questions associated with statistical inference of doubly stochastic Poisson processes are discussed. This general model appears to be of value in studying a number of problems in environmental health in which the factors which affect the rate at which certain diseases occur cannot be deterministically characterized. The model's applicability to a study of air pollution and incidence of acute respiratory diseases in the New York City area is examined.

Maintaining the excellent features that made the first edition so popular, this outstanding reference/text presents the only comprehensive treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;,.tial point processes. Thoroughly updated and revised to reflect changes since publication of the firstedition, the expanded Second EdiLion now contains a better organized and easierto-understand treatment of stationary point processes ... expanded treatment ofthe multiplicative intensity model ... expanded treatment of survival analysis . ..broadened consideration of applications ... an expanded and extended bibliographywith over 1,000 references ... and more than 3('() end-of-chapter exercises.

Stats Inference Stochasic Process