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Encyclopedia of Earth Sciences Series
Model is an abstraction of the reality. The first step in data analysis is to capture its most suitable model. This step receives a fatal hit when the data exhibits either over or under variance against the model. This article provides an approach, based on Neyman's C ( ) principle, to decide whether the over or under variance is weak enough for the model to work. To illustrate the method, the times (in hours) between main earthquake and aftershocks during 1973-1995 are considered and explained.doi:10.1007/978-90-481-8702-7_204 fatcat:aeaq4olyx5f2lpitzl2ft7sjme