A multivariate nonparametric scan statistic ...
Document type :
Article dans une revue scientifique: Article original
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Title :
A multivariate nonparametric scan statistic for spatial data
Author(s) :
Cucala, Lionel [Auteur]
Institut Montpelliérain Alexander Grothendieck [IMAG]
Genin, Michaël [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Occelli, Florent [Auteur]
IMPact de l'Environnement Chimique sur la Santé humaine (IMPECS) - EA 4483
Soula, Julien [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Institut Montpelliérain Alexander Grothendieck [IMAG]
Genin, Michaël [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Occelli, Florent [Auteur]

IMPact de l'Environnement Chimique sur la Santé humaine (IMPECS) - EA 4483
Soula, Julien [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Journal title :
Spatial Statistics
Abbreviated title :
Spat. Stat.
Volume number :
29
Pages :
1-14
Publisher :
Elsevier
Publication date :
2019-03-01
ISSN :
2211-6753
English keyword(s) :
Spatial statistics
Cluster detection
Scan statistics
Cluster detection
Scan statistics
HAL domain(s) :
Sciences du Vivant [q-bio]
Mathématiques [math]/Statistiques [math.ST]
Mathématiques [math]/Statistiques [math.ST]
English abstract : [en]
This paper introduces a nonparametric scan method for multivariate data indexed in space. Contrary to many other scan methods, it does not rely on a generalized likelihood ratio but is completely distribution-free as it ...
Show more >This paper introduces a nonparametric scan method for multivariate data indexed in space. Contrary to many other scan methods, it does not rely on a generalized likelihood ratio but is completely distribution-free as it is based on so-called multivariate ranks. This spatial scan test seems to be more reliable for analysing data that are not Gaussian, such as environmental measurements. We apply this method to a dataset recording the levels of metallic pollutants for two areas in the North of France.Show less >
Show more >This paper introduces a nonparametric scan method for multivariate data indexed in space. Contrary to many other scan methods, it does not rely on a generalized likelihood ratio but is completely distribution-free as it is based on so-called multivariate ranks. This spatial scan test seems to be more reliable for analysing data that are not Gaussian, such as environmental measurements. We apply this method to a dataset recording the levels of metallic pollutants for two areas in the North of France.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CHU Lille
Institut Pasteur de Lille
Université de Lille
Institut Pasteur de Lille
Université de Lille
Collections :
Submission date :
2019-12-09T18:20:46Z
2022-11-22T13:49:45Z
2022-11-22T13:49:45Z
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- Cucala et al.pdf
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