A test for independence of two sets of variables when the number of variables is large relative to the sample size
- Author
- SCHOTT, James R1
[1] Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL 32816-2370, United States - Source
Statistics & probability letters. 2008, Vol 78, Num 17, pp 3096-3102, 7 p ; ref : 1/4 p
- CODEN
- SPLTDC
- ISSN
- 0167-7152
- Scientific domain
- Mathematics
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Grand échantillon Indépendance Loi grand nombre Loi n variables Loi normale Méthode statistique Simulation Taille échantillon Test hypothèse Test indépendance Test rapport vraisemblance Test statistique Théorie probabilité Variable aléatoire Vecteur aléatoire 62D05 62E17 62E20 62H10 Approximation normale Loi asymptotique Loi vectorielle
- Keyword (en)
- Large sample Independence Law of large numbers Multivariate distribution Gaussian distribution Statistical method Simulation Sample size Hypothesis test Independence test Likelihood ratio test Statistical test Probability theory Random variable Random vector Normal approximation Asymptotic distribution Vector distribution
- Keyword (es)
- Independencia Ley gran número Ley n variables Curva Gauss Método estadístico Simulación Tamaño muestra Test hipótesis Test independencia Test razón verosimilitud Test estadístico Teoría probabilidad Variable aléatoria Vector aléatorio
- 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 / 001A02H01A General topics
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02E Sampling theory, sample surveys
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02I Multivariate analysis
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20846116
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
10.1016/j.spl.2008.05.031 
https://dx.doi.org/10.1016/j.spl.2008.05.031
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