Nonparametric and semiparametric models for missing covariates in parametric regression
- Author
- CHEN, Hua Yun1
[1] Division of Epidemiology & Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL 60612, United States - Source
Journal of the American Statistical Association. 2004, Vol 99, Num 468, pp 1176-1189, 14 p ; ref : 40 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)
- Application Covariable Donnée manquante Efficacité estimateur Estimateur convergent Estimation non paramétrique Fonction répartition Information incomplète Intégration Loi conditionnelle Maximisation Maximum vraisemblance Modèle régression Méthode paramétrique Méthode semiparamétrique Méthode statistique Robustesse estimateur Régression statistique 60E05 62Jxx Modèle mal spécifié Modèle paramétrique Modèle semi paramétrique
- Keyword (en)
- Application Covariate Missing data Estimator efficiency Consistent estimator Non parametric estimation Distribution function Incomplete information Integration Conditional distribution Maximization Maximum likelihood Regression model Parametric method Semiparametric method Statistical method Estimator robustness Statistical regression Misspecification model Parametric model Semiparametric model
- Keyword (es)
- Aplicación Covariable Dato que falta Eficacia estimador Estimador convergente Estimación no paramétrica Función distribución Información incompleta Integración Ley condicional Maximización Maxima verosimilitud Modelo regresión Método paramétrico Método semiparamétrico Método estadístico Robustez estimador Regresión estadística
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01F Distribution theory
- 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 / 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
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16304670
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
10.1198/016214504000001727 
https://dx.doi.org/10.1198/016214504000001727
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