Asymptotic bootstrap corrections of AIC for linear regression models
- Author
- SEGHOUANE, Abd-Krim1
[1] National ICT Australia, Canberra Research Laboratory and The Australian National University, College of Engineering and Computer Science, Canberra, Australia - Source
Signal processing. 2010, Vol 90, Num 1, pp 217-224, 8 p ; ref : 36 ref
- CODEN
- SPRODR
- ISSN
- 0165-1684
- Scientific domain
- Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- AIC AlCc Bootstrap Kullback-Leibler information Model selection
- Keyword (fr)
- Analyse régression Approximation asymptotique Autogénération mutuelle Critère information Akaike Evaluation performance Modèle linéaire Modèle régression Régression linéaire Régression polynomiale Simulation Sélection modèle Traitement information
- Keyword (en)
- Regression analysis Asymptotic approximation Bootstrapping Akaike information criterion Performance evaluation Linear model Regression model Linear regression Polynomial regression Simulation Model selection Information processing
- Keyword (es)
- Análisis regresión Aproximación asintótica Criterio información Akaike Evaluación prestación Modelo lineal Modelo regresión Regresión lineal Regresión polinomial Simulación Selección modelo Procesamiento información
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory
- Discipline
- Computer science : theoretical automation and systems Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22733522
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
10.1016/j.sigpro.2009.06.010 
https://dx.doi.org/10.1016/j.sigpro.2009.06.010
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