Treffer: Parametric Estimator of Linear Model with Interval-Censored Data
Title:
Parametric Estimator of Linear Model with Interval-Censored Data
Authors:
Source:
Communications in statistics. Simulation and computation. 41(8-10):1794-1804
Publisher Information:
Colchester: Taylor & Francis, 2012.
Publication Year:
2012
Physical Description:
print, 1/4 p
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, Statistiques, Statistics, Inférence non paramétrique, Nonparametric inference, Inférence linéaire, régression, Linear inference, regression, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Probabilités et statistiques numériques, Numerical methods in probability and statistics, Analyse régression, Regression analysis, Análisis regresión, Donnée censurée, Censored data, Estimation paramètre, Parameter estimation, Estimación parámetro, Estimation sans biais, Unbiased estimation, Estimación insesgada, Fonction réponse, Response function, Función respuesta, Modèle linéaire, Linear model, Modelo lineal, Modèle régression, Regression model, Modelo regresión, Méthode moindre carré, Least squares method, Método cuadrado menor, Méthode paramétrique, Parametric method, Método paramétrico, Méthode statistique, Statistical method, Método estadístico, Régression linéaire, Linear regression, Regresión lineal, Régression statistique, Statistical regression, Regresión estadística, Simulation numérique, Numerical simulation, Simulación numérica, Variable aléatoire, Random variable, Variable aléatoria, 62J05, 62N01, Estimation paramétrique, Parametric estimation, Modèle paramétrique, Parametric model, 62N02, Interval-censored data, Least square method, Unbiased transformation
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Mathematics and Information Science, Jiangxi Normal University, Nanchang, China
Institute of Technology, Jiangxi Agricultural University, Nanchang, China
Institute of Technology, Jiangxi Agricultural University, Nanchang, 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.26164023
Database:
PASCAL Archive
Weitere Informationen
In this article, we consider the estimation of regression parameters in linear model in the presence of interval-censored data. When the response variable is intervalcensored, the traditional methods can not be used to estimate the parameters directly. In this article, unbiased transformation is carried out and a new random variable which has the same expectation as the function of the response variable is established. With the regression analysis for the constructed statistic we conclude the estimator by least square method.