Multivariate Student-t regression models : Pitfalls and inference
- Author
- FERNANDEZ, C1 ; STEEL, M. F. J2
[1] Department of Mathematics, University of Bristol, Bristol BS8 1TW, United Kingdom
[2] Department of Economics, University of Edinhurgh, Edinburgh EH8 9JY, United Kingdom - Source
Biometrika. 1999, Vol 86, Num 1, pp 153-167 ; ref : 30 ref
- CODEN
- BIOKAX
- ISSN
- 0006-3444
- Scientific domain
- General biology; Mathematics
- Publisher
- Oxford University Press, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse multivariable Estimation Bayes Fonction vraisemblance Loi Student Loi conditionnelle Maximisation fonction Maximum vraisemblance Régression statistique
- Keyword (en)
- Multivariate analysis Bayes estimation Likelihood function Student distribution Conditional distribution Function maximization Maximum likelihood Statistical regression
- Keyword (es)
- Análisis multivariable Estimación Bayes Función verosimilitud Ley Student Ley condicional Maximización función Maxima verosimilitud Regresión estadística
- 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
- 1835607
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
10.1093/biomet/86.1.153 
https://dx.doi.org/10.1093/biomet/86.1.153
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