Add to ORKGThree methods for linear regression with censored data are considered, that of Buckley & James (1979), a proposed simpler nonparametric method and a normal model for censored data. A new estimator for the variance of the error term in Buckley & James's (1979) procedure is proposed and simulations comparing the three methods are described
Estimators for the linear model in the presence of censoring are available. A new extension of the l...
Often, real life problems require modelling several response variables together. This work analyses...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
AbstractKoul, Susarla and Van Ryzin (1981, Ann. Statist. 9, 1276-1288) proposed a generalization of ...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
In this work we study the effect of several covariates X on a censored response variable T with unkn...
A noniterative method of estimation is presented in a simple linear regression model where the indep...
The method of Buckley and James (1979) for fitting linear regression models to censored data has bee...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censore...
In this paper, we study a number of issues that arise for estimation of coe ¢ cients of a linear mod...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
Estimators for the linear model in the presence of censoring are available. A new extension of the l...
Often, real life problems require modelling several response variables together. This work analyses...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
AbstractKoul, Susarla and Van Ryzin (1981, Ann. Statist. 9, 1276-1288) proposed a generalization of ...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
In this work we study the effect of several covariates X on a censored response variable T with unkn...
A noniterative method of estimation is presented in a simple linear regression model where the indep...
The method of Buckley and James (1979) for fitting linear regression models to censored data has bee...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censore...
In this paper, we study a number of issues that arise for estimation of coe ¢ cients of a linear mod...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
Estimators for the linear model in the presence of censoring are available. A new extension of the l...
Often, real life problems require modelling several response variables together. This work analyses...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...