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Extending conventional priors for testing general hypotheses in linear models

Author
BAYARRI, M. J1 ; GARCIA-DONATO, Gonzalo2
[1] Department of Statistics and Operations Research, University of Valencia, 46100 Valencia, Spain
[2] Department of Economics and Finance, University of Castilla-La Mancha, 02071 Albacete, Spain
Source

Biometrika. 2007, Vol 94, Num 1, pp 135-152, 18 p ; ref : 3/4 p

CODEN
BIOKAX
ISSN
0006-3444
Scientific domain
General biology; Mathematics
Publisher
Oxford University Press, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Analysis-of-variance model Changepoint problem Model selection Objective Bayesian methods Partially informative distribution Regression model
Keyword (fr)
Analyse variance Biométrie Comparaison multiple Efficacité traitement Estimation Bayes Fonction répartition Loi a priori Modèle linéaire Méthode statistique Point changement Sélection modèle Test hypothèse Facteur Bayes Méthode sélection
Keyword (en)
Variance analysis Biometrics Multiple comparison Treatment efficiency Bayes estimation Distribution function Prior distribution Linear model Statistical method Change point Model selection Hypothesis test Bayes factor Selection method
Keyword (es)
Análisis variancia Biometría Comparación múltiple Eficacia tratamiento Estimación Bayes Función distribución Ley a priori Modelo lineal Método estadístico Punto cambio Selección modelo Test hipótesis
Classification
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

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02N Applications / 001A02H02N3 Biology, psychology, social sciences

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18606843

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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