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Density testing in a contaminated sample

Author
HOLZMANN, Hajo1 ; BISSANTZ, Nicolai1 ; MUNK, Axel1
[1] Institute for Mathematical Stochastics, Georg-August-University Gottingen, 37073 Göttingen, Germany
Source

Journal of multivariate analysis. 2007, Vol 98, Num 1, pp 57-75, 19 p ; ref : 29 ref

CODEN
JMVAAI
ISSN
0047-259X
Scientific domain
Mathematics
Publisher
Elsevier, San Diego, CA
Publication country
United States
Document type
Article
Language
English
Author keyword
Asymptotic normality; Deconvolution; Goodness of fit; Integrated square error; Multivariate nonparametric density estimation primary 62G07; secondary 62G10; 62G20
Keyword (fr)
Déconvolution Efficacité estimateur Estimation densité Estimation non paramétrique Méthode statistique Normalité asymptotique Test ajustement Vecteur aléatoire Perte efficacité
Keyword (en)
Deconvolution Estimator efficiency Density estimation Non parametric estimation Statistical method Asymptotic normality Goodness of fit test Random vector Efficiency loss
Keyword (es)
Desconvolución Eficacia estimador Estimación densidad Estimación no paramétrica Método estadístico Normalidad asintótica Prueba ajuste Vector aléatorio
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

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18405973

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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