AbstractKoul, Susarla and Van Ryzin (1981, Ann. Statist. 9, 1276-1288) proposed a generalization of the ordinary least squares estimator in linear models with censored data. This paper uses counting processes and martingale techniques to provide a proof of the asymptotic normality of the estimator. A detailed analysis of the asymptotic variance is presented
AbstractA class of generalized linear rank statistics is introduced for regression analysis in the p...
In this paper, we study a number of issues that arise for estimation of coe ¢ cients of a linear mod...
Koul, Susarla and Van Ryzin (1981) proposed a regression estimator for linear regression models with...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
Estimators for the linear model in the presence of censoring are available. A new extension of the l...
[[abstract]]The ordinary least squares (OLS) method is popular for analyzing linear regression model...
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censore...
In this paper, the estimation of joint distribution F(y, z) of (Y, Z) and the estimation in the line...
Consider a partial linear model Y-i = X(i)beta + g(T-i)+e(i). Here g is an unknown smooth function o...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
AbstractMotivated by regression analysis of censored survival data, we develop herein a general asym...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
AbstractA class of generalized linear rank statistics is introduced for regression analysis in the p...
In this paper, we study a number of issues that arise for estimation of coe ¢ cients of a linear mod...
Koul, Susarla and Van Ryzin (1981) proposed a regression estimator for linear regression models with...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
Estimators for the linear model in the presence of censoring are available. A new extension of the l...
[[abstract]]The ordinary least squares (OLS) method is popular for analyzing linear regression model...
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censore...
In this paper, the estimation of joint distribution F(y, z) of (Y, Z) and the estimation in the line...
Consider a partial linear model Y-i = X(i)beta + g(T-i)+e(i). Here g is an unknown smooth function o...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
We study issues that arise for estimation of a linear model when a regressor is censored. We discuss...
AbstractMotivated by regression analysis of censored survival data, we develop herein a general asym...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
The Koul-Susarla-Van Ryzin (KSV) and weighted least squares (WLS) methods are simple to use techniqu...
AbstractA class of generalized linear rank statistics is introduced for regression analysis in the p...
In this paper, we study a number of issues that arise for estimation of coe ¢ cients of a linear mod...
Koul, Susarla and Van Ryzin (1981) proposed a regression estimator for linear regression models with...
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