Arbitrarily shaped multiple spatial cluster detection for case event data

DOI10.1016/j.csda.2006.03.011zbMath1161.62372OpenAlexW1963787704MaRDI QIDQ1020033

Jean-Pierre Daurès, Nicolas Molinari, Christophe Dematteï

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.03.011

zbMATH Keywords

regressionarbitrarily shaped clusterscase event datadistance from nearest neighbourspatial cluster detection test

Mathematics Subject Classification ID

Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (10)

Multi-objective approach for multiple clusters detection in data points events ⋮ Estimating inter-group interaction radius for point processes with nested spatial structures ⋮ An up-to-date review of scan statistics ⋮ Editorial. Spatial statistics: methods, models \& computation ⋮ A flexible spatial scan test for case event data ⋮ A spatial scan statistic for case event data based on connected components ⋮ A Wilcoxon-Mann-Whitney spatial scan statistic for functional data ⋮ Multiple Spatio-Temporal Cluster Detection for Case Event Data: An Ordering-Based Approach ⋮ A Latent Model to Detect Multiple Clusters of Varying Sizes ⋮ A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials

Uses Software

• spatial

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Power comparisons for disease clustering tests
• A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters
• Power comparisons for an improved disease clustering test
• Sums of functions of nearest neighbor distances, moment bounds, limit theorems and a goodness of fit test
• Multiple Temporal Cluster Detection
• Tests for Parameter Instability and Structural Change With Unknown Change Point
• A test to detect clusters of disease
• A spatial scan statistic
• Nonparametric Maximum Likelihood Estimation of Features in Spatial Point Processes Using Voronoi Tessellation
• Critical values for multiple structural change tests
• Estimating and Testing Linear Models with Multiple Structural Changes
• Tests of Spatial Randomness Adjusted for an Inhomogeneity

This page was built for publication: Arbitrarily shaped multiple spatial cluster detection for case event data