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On Gaussian correlation inequalities for periodic sets

Author
BHANDARI, Subir K1 ; BASU, Ayanendranath2
[1] Stat-Math Unit, Indian Statistical Institute, 203 B. T. Road, Calcutta 700 108, India
[2] Applied Statistics Unit, Indian Statistical Institute, 203 B. T. Road, Calcutta 700 108, India
Source

Statistics & probability letters. 2005, Vol 73, Num 3, pp 315-320, 6 p ; ref : 3 ref

CODEN
SPLTDC
ISSN
0167-7152
Scientific domain
Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Correlation inequality Periodic functions
Keyword (fr)
Analyse corrélation Ensemble convexe Fonction périodique Fonction répartition Invariant Méthode statistique Théorie probabilité Inégalité corrélation
Keyword (en)
Correlation analysis Convex set Periodic function Distribution function Invariant Statistical method Probability theory
Keyword (es)
Análisis correlación Conjunto convexo Función periódica Función distribución Invariante Método estadístico Teoría probabilidad
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01C Probability theory on algebraic and topological structures

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01F Distribution theory

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16906912

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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