Assessing Spatial Point Process Models for California Earthquakes Using Weighted K-functions
نویسندگان
چکیده
We propose a weighted analogue of Ripley’s K-function for assessing the fit of point process models. The advantage of the proposed measure is that it can be used in situations where the null hypothesis is not a stationary Poisson model. We present its distributional properties for a spatial, two-dimensional inhomogeneous Poisson process and use it to assess the goodness-of-fit of two alternative point process models for the spatial distribution of California earthquakes.
منابع مشابه
Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes
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