Residual Analysis for Inhomogeneous Neyman-Scott Processes

摘要

In this article, we introduce a residua) analysis for inhomogeneous Neyman-Scott models based on Laplace functional. Our simulation study shows that this residual analysis method has a good performance in assessing goodness-of-fit and revealing inadequacy of the fitted model. The method is employed in fitting a Thomas model to California redwood trees data and a Matern model to the locations of hickory trees in Lansing woods, Michigan.