Treffer: Estimation of the Bivariate Cause-Specific Distribution Function with Left-Truncated Competing Risks Data
Title:
Estimation of the Bivariate Cause-Specific Distribution Function with Left-Truncated Competing Risks Data
Authors:
Source:
Communications in statistics. Simulation and computation. 41(1-2):99-110
Publisher Information:
Colchester: Taylor & Francis, 2012.
Publication Year:
2012
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Théorie des probabilités et processus stochastiques, Probability theory and stochastic processes, Lois de probabilités, Distribution theory, Statistiques, Statistics, Inférence non paramétrique, Nonparametric inference, Analyse multivariable, Multivariate analysis, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Probabilités et statistiques numériques, Numerical methods in probability and statistics, Analyse multivariable, Multivariate analysis, Análisis multivariable, Donnée censurée, Censored data, Echantillon censuré, Censored sample, Muestra censurada, Estimation statistique, Statistical estimation, Estimación estadística, Fonction répartition, Distribution function, Función distribución, Loi 2 variables, Bivariate distribution, Ley 2 variables, Méthode statistique, Statistical method, Método estadístico, Risque simultané, Competing risk, Riesgo simultáneo, Simulation numérique, Numerical simulation, Simulación numérica, Simulation statistique, Statistical simulation, Simulación estadística, Troncature, Truncation, Truncamiento, 60E05, 62H12, 62N01, Modèle risque, Risk model, Cause-specific distribution, Competing risk models, Primary 62N01, Random truncation, Secondary 62N02
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Statistics, Tunghai University, Taichung, Tawain, Province of China
ISSN:
0361-0918
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
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
CC BY 4.0
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
Notes:
Mathematics
Accession Number:
edscal.25576914
Database:
PASCAL Archive
Weitere Informationen
In this article, we consider estimating the bivariate cause-specific distribution function when both components are subject to left truncation and right censoring. Based on the estimators proposed by Shen and Yan (2008), we propose two tvpes of estimators as the extension of Sankaran et al. (2006). The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators.