A spatial scan statistic for zero-inflated Poisson process

摘要: The scan statistic is widely used in spatial cluster detection applications of inhomogeneous Poisson processes. However, real data may present substantial departure from the underlying process. One possible departures has to do with zero excess. Some studies point out that when applied excess zeros, produce biased inferences. In this work, we develop a closed-form for zero-inflated count data. We apply our methodology simulated and Our simulations revealed Scan-Poisson steadily deteriorates as number zeros increases, producing On other hand, proposed Scan-ZIP Scan-ZIP+EM statistics are, most time, either superior or comparable statistic.