Earthquake, Aftershocks [chapter]

Mian Liu, Seth Stein
2011 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