Titre :

Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models

Auteur(s) :

Amarioarei, Alexandru [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
MOdel for Data Analysis and Learning [MODAL]
Preda, Cristian [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
MOdel for Data Analysis and Learning [MODAL]

Titre de la revue :

Journal of Statistical Planning and Inference

Pagination :

14

Éditeur :

Elsevier

Date de publication :

2014-01-10

ISSN :

0378-3758

Mot(s)-clé(s) en anglais :

Scan statistics
m-dependent stationary sequences
Block-factor

Discipline(s) HAL :

Mathématiques [math]/Probabilités [math.PR]
Mathématiques [math]/Statistiques [math.ST]

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 >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL