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Covariate-matched one-sided tests for the difference between functional means

Author
HALL, P1 ; HUBER, C2 ; SPECKMAN, P. L3
[1] Centre for Mathematics and Its Applications, Australian National University, Canberra, ACT 0200, Australia
[2] Université de Paris V, 75270 Paris, France
[3] Department of Statistics, University of Missouri, Columbia, MO 65211, United States
Source

Journal of the American Statistical Association. 1997, Vol 92, Num 439, pp 1074-1083 ; ref : 41 ref

CODEN
JSTNAL
ISSN
0162-1459
Scientific domain
Mathematics
Publisher
American Statistical Association, Alexandria, VA
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Bootstrap Covariable Estimation densité Estimation non paramétrique Interpolation Modèle régression Méthode noyau Point critique Test hypothèse
Keyword (en)
Bootstrap Covariate Density estimation Non parametric estimation Interpolation Regression model Kernel method Critical point Hypothesis test
Keyword (es)
Bootstrap Covariable Estimación densidad Estimación no paramétrica Interpolación Modelo regresión Método núcleo Punto crítico Test hipótesis
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02H Nonparametric inference

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
2815211

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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