THE DISTRIBUTION OF MAXIMA OF APPROXIMATELY GAUSSIAN RANDOM FIELDS
- Auteur
- NARDI, Yuval; SIEGMUND, David O; YAKIR, Benjamin
[1] Carnegie Mellon University, United States
[2] Stanford University, United States
[3] Hebrew University, United States - Source
Annals of statistics. 2008, Vol 36, Num 3, pp 1375-1403, 29 p ; ref : 20 ref
- CODEN
- ASTSC7
- ISSN
- 0090-5364
- Domaine scientifique
- Mathematics
- Editeur
- Institute of Mathematical Statistics, Hayward, CA
- Pays de publication
- United States
- Type de document
- Article
- Langue
- English
- Mot clé (fr)
- Analyse image Champ aléatoire Champ gaussien Estimation statistique Fonction répartition Méthode statistique Processus stochastique Queue distribution Rapport vraisemblance Test score Test statistique 11Sxx 60E05 60G60 62M40 Approximation aléatoire Niveau signification
- Mot clé (en)
- Image analysis Random field Gaussian field Statistical estimation Distribution function Statistical method Stochastic process Distribution tail Likelihood ratio Score test Statistical test Significance level
- Mot clé (es)
- Análisis imagen Campo aleatorio Campo gaussiano Estimación estadística Función distribución Método estadístico Proceso estocástico Cola distribución Relación verosimilitud Test estadístico
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H01 Théorie des probabilités et processus stochastiques / 001A02H01F Lois de probabilités
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H01 Théorie des probabilités et processus stochastiques / 001A02H01H Processus stochastiques
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02A Généralités
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02M Inférence à partir de processus stochastiques; analyse des séries temporelles
- Discipline
- Mathematics
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 20406190
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1214/07-AOS511 
https://dx.doi.org/10.1214/07-AOS511
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