Randomly censored partially linear single-index models
- Author
- XUEWEN LU1 ; CHENG, Tsung-Lin2
[1] Department of Mathematics and Statistics, University of Calgary, Calgary, AB, T2N 1N4, Canada
[2] Department of Mathematics, National Changhua University of Education, Taiwan, Province of China - Source
Journal of multivariate analysis. 2007, Vol 98, Num 10, pp 1895-1922, 28 p ; ref : 37 ref
- CODEN
- JMVAAI
- ISSN
- 0047-259X
- Scientific domain
- Mathematics
- Publisher
- Elsevier, San Diego, CA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- 62N01; 62G08; 62E20 iccelerated failure-time model; Asymptotic normality; Kernel smoothing; Local linear fit; Partially linear single-index model; Quasi likelihood; Random censoring; Synthetic data
- Keyword (fr)
- Algorithme Analyse dommage Analyse multivariable Analyse numérique Analyse survie Association statistique Coefficient régression Convergence asymptotique Distribution statistique Donnée censurée Echantillon censuré Estimateur noyau Estimation non paramétrique Estimation statistique Fonction noyau Fonction régression Fonction survie Modèle linéaire Modèle régression Méthode Monte Carlo Méthode noyau Méthode semiparamétrique Méthode statistique Méthode stochastique Normalité asymptotique Noyau(mathématiques) Régression linéaire Régression statistique Simulation Survie Temps survie Théorie approximation 62E17 62G08 62H20 62J05 62Jxx 62N01 62N02 62N99 62Nxx 65C05 Modèle semi paramétrique Modèle survie Réduction dimension Temps défaillance
- Keyword (en)
- Algorithm Failure analysis Multivariate analysis Numerical analysis Survival analysis Statistical association Regression coefficient Asymptotic convergence Statistical distribution Censored data Censored sample Kernel estimator Non parametric estimation Statistical estimation Kernel function Regression function Survival function Linear model Regression model Monte Carlo method Kernel method Semiparametric method Statistical method Stochastic method Asymptotic normality Kernels Linear regression Statistical regression Simulation Survival Survival time Approximation theory Semiparametric model Survival model Dimension reduction Failure time
- Keyword (es)
- Algoritmo Análisis avería Análisis multivariable Análisis numérico Asociación estadística Coeficiente regresión Convergencia asintótica Distribución estadística Muestra censurada Estimación no paramétrica Estimación estadística Función núcleo Función regresión Función sobrevivencia Modelo lineal Modelo regresión Método Monte Carlo Método núcleo Método semiparamétrico Método estadístico Método estocástico Normalidad asintótica Regresión lineal Regresión estadística Simulación Sobrevivencia
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02F Distribution theory
- 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 / 001A02H02I Multivariate analysis
- 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
- 19218632
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.jmva.2006.11.008 
https://dx.doi.org/10.1016/j.jmva.2006.11.008
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