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Residual Analysis for Inhomogeneous Neyman–Scott Processes
Author(s) -
JALILIAN ABDOLLAH H.,
VAHIDIASL MOHAMMAD Q.
Publication year - 2011
Publication title -
scandinavian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.359
H-Index - 65
eISSN - 1467-9469
pISSN - 0303-6898
DOI - 10.1111/j.1467-9469.2011.00731.x
Subject(s) - mathematics , residual , goodness of fit , laplace transform , statistics , calculus (dental) , econometrics , algorithm , mathematical analysis , medicine , dentistry
. In this article, we introduce a residual analysis for inhomogeneous Neyman–Scott models based on Laplace functionals. 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 Matérn model to the locations of hickory trees in Lansing woods, Michigan.