Practical small-sample asymptotics for regression problems
- Author
- STRAWDERMAN, R. L1 ; CASELLA, G; WELLS, M. T
[1] Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, United States - Source
Journal of the American Statistical Association. 1996, Vol 91, Num 434, pp 643-654 ; 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)
- Coefficient régression Echantillonnage Gibbs Intégration Maximum vraisemblance Modèle linéaire généralisé Méthode Monte Carlo Petit échantillon Point col Régression logistique Somme variable aléatoire Equation estimante Intégration Monte Carlo aproximation point col
- Keyword (en)
- Regression coefficient Gibbs sampling Integration Maximum likelihood Generalized linear model Monte Carlo method Small sample Saddle point Logistic regression Random variable sum
- Keyword (es)
- Coeficiente regresión Muestreo Gibbs Integración Maxima verosimilitud Modelo lineal generalizado Método Monte Carlo Pequeña muestra Punto silla Regresión logística Suma variable aleatoria
- 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
- 3113876
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
10.1080/01621459.1996.10476933 
https://dx.doi.org/10.1080/01621459.1996.10476933
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