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PubMed · 15475424

Mixed models for the analysis of replicated spatial point patterns.

Melanie L Bell·Gary K Grunwald
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Abstract

The statistical methodology for the analysis of replicated spatial point patterns in complex designs such as those including replications is fairly undeveloped. A mixed model is developed in conjunction with maximum pseudolikelihood and generalized linear mixed modeling by extending Baddeley and Turner's (2000, Australian and New Zealand Journal of Statistics 42, 283-322) work on pseudolikelihood for single patterns. A simulation experiment is performed on parameter estimation. Fixed- and mixed-effect models are compared, and in some respects the mixed model is found to be superior. An example using the Strauss process for modeling neuron locations in post-mortem brain slices is shown.

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BrainComputer SimulationHumansLikelihood FunctionsModels, StatisticalNeuronsComparative StudyJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Melanie L Bell, Gary K Grunwald. 2004. Mixed models for the analysis of replicated spatial point patterns.. https://doi.org/10.1093/biostatistics%2Fkxh014

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