Inference for Clustered Inhomogeneous Spatial Point Processes

We propose a method to test for significant differences in the levels of clustering between two spatial point processes (cases and controls) while taking into account differences in their first-order intensities. The key advance on earlier methods is that the controls are not assumed to be a Poisson...

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Veröffentlicht in:	Biometrics Jg. 65; H. 2; S. 423 - 430
Hauptverfasser:	Henrys, P. A., Brown, P. E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Malden, USA Blackwell Publishing Inc 01.06.2009 Wiley-Blackwell Publishing Blackwell Publishing Ltd
Schlagworte:	adults Algorithms Altitude Biometric Methodology Biometrics biometry Biometry - methods Biostatistics Cluster Analysis Clustering Computer Simulation Data Interpretation, Statistical diagnostic techniques Ecology Environmental epidemiology Epidemiologic Research Design Inference Inhomogeneous methods Null hypothesis P values Pattern Recognition, Automated Point estimators Poisson process Proportional Hazards Models Reproducibility of Results Risk Assessment Risk Assessment - methods Sampling distributions Sensitivity and Specificity Spatial point processes Spatial points Statistical methods Trees tropical forests
ISSN:	0006-341X, 1541-0420, 1541-0420
Online-Zugang:	Volltext
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