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dc.contributor.authorBaddeley, Adrian
dc.date.accessioned2017-04-28T14:00:19Z
dc.date.available2017-04-28T14:00:19Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2013
dc.identifier.citationBaddeley, A. 2013. Chapter 3: Spatial point patterns: Models and statistics. Lecture Notes in Mathematics. 2068: pp. 49-114.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52888
dc.identifier.doi10.1007/978-3-642-33305-7-3
dc.description.abstract

This chapter gives a brief introduction to spatial point processes, with a view to applications. The three sections focus on the construction of point process models, the simulation of point processes, and statistical inference. For further background, we recommend [Daley et al., Probability and its applications (New York). Springer, New York, 2003/2008; Diggle, Statistical analysis of spatial point patterns, 2nd edn. HodderArnold, London, 2003; Illian et al., Statistical analysis and modelling of spatial point patterns. Wiley, Chichester, 2008; Møller et al., Statistical inference and simulation for spatial point processes. Chapman & Hall, Boca Raton, 2004]. © Springer-Verlag Berlin Heidelberg 2013.

dc.titleChapter 3: Spatial point patterns: Models and statistics
dc.typeJournal Article
dcterms.source.volume2068
dcterms.source.startPage49
dcterms.source.endPage114
dcterms.source.titleLecture Notes in Mathematics
dcterms.source.isbn9783642333040
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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