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Fixed-Effects Modeling of Cohen's Kappa for Bivariate Multinomial Data

Author
JINGYUN YANG1 ; CHINCHILLI, Vernon M2
[1] Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts, United States
[2] Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, United States
Source

Communications in statistics. Theory and methods. 2009, Vol 38, Num 18-20, pp 3634-3653, 20 p ; ref : 1 p.1/4

CODEN
CSTMDC
ISSN
0361-0926
Scientific domain
Mathematics
Publisher
Taylor & Francis, Philadelphia, PA
Publication country
United States
Document type
Article
Language
English
Author keyword
15A09 62F40 62H12 62P10 Agreement Categorical data Kappa Largest eigenvalue Primary 62H20 Secondary 62H20
Keyword (fr)
Bootstrap Donnée catégorielle Grand échantillon Loi multinomiale Méthode jackknife Méthode rééchantillonnage Méthode statistique Simulation statistique Valeur propre 62F40 Effet fixe Estimation paramétrique
Keyword (en)
Bootstrap Categorical data Large sample Multinomial distribution Jackknife method Resampling method Statistical method Statistical simulation Eigenvalue Fixed effect
Keyword (es)
Bootstrap Dato categórico Ley multinomial Método jackknife Método estadístico Simulación estadística Valor propio
Classification
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 / 001A02H02G Parametric inference

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22176965

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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