Approximations for two-dimensional discrete ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models
Auteur(s) :
Titre de la revue :
Journal of Statistical Planning and Inference
Numéro :
151-152
Pagination :
14
Éditeur :
Elsevier
Date de publication :
2014-01-10
ISSN :
0378-3758
Mot(s)-clé(s) :
Scan statistics
M-dependent stationary sequences
Block-factor
M-dependent stationary sequences
Block-factor
Discipline(s) HAL :
Mathématiques [math]/Probabilités [math.PR]
Résumé en anglais : [en]
We consider the two-dimensional discrete scan statistic generated by a block-factor type model. Under the null hypothesis, in which the block-factor model is obtained from an i.i.d. sequence of random variables, we present ...
Lire la suite >We consider the two-dimensional discrete scan statistic generated by a block-factor type model. Under the null hypothesis, in which the block-factor model is obtained from an i.i.d. sequence of random variables, we present an approximation for the distribution of the scan statistics and the corresponding error bounds. Numerical results are presented to evaluate the accuracy of the approximation discussed in this paper.Lire moins >
Lire la suite >We consider the two-dimensional discrete scan statistic generated by a block-factor type model. Under the null hypothesis, in which the block-factor model is obtained from an i.i.d. sequence of random variables, we present an approximation for the distribution of the scan statistics and the corresponding error bounds. Numerical results are presented to evaluate the accuracy of the approximation discussed in this paper.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Date de dépôt :
2020-06-08T14:11:43Z
2020-06-09T07:21:35Z
2020-06-09T07:21:35Z
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