Add to ORKGA normal regression situation is considered in which we have data for n+m individuals. The values denote by yn+1, yn+2,…,yn+m represent right- censored observations. Maximum likelihood estimation of the regression coefficients and residual variance for the normal case with censored and uncensored data is derived and assessed through simulation studies. 1
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
We develop a simple semiparametric framework for combining censored and uncensored samples so that t...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
A normal linear regression model is considered in which we have data for n+m individuals. For the fi...
The multivariate contaminated normal (MCN) distribution which contains two extra parameters with res...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
A method for estimating variance and covariance components for both uncensored and censored traits i...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
In order to make statistical inference, that is drawing conclusions from a sample to describe a popu...
AbstractDoubly censored data, which include left as well as right censored observations, are frequen...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
[Read before The Royal Statistical Society at a meeting organized by the Research Section o
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
We develop a simple semiparametric framework for combining censored and uncensored samples so that t...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
A normal linear regression model is considered in which we have data for n+m individuals. For the fi...
The multivariate contaminated normal (MCN) distribution which contains two extra parameters with res...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
A method for estimating variance and covariance components for both uncensored and censored traits i...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
In order to make statistical inference, that is drawing conclusions from a sample to describe a popu...
AbstractDoubly censored data, which include left as well as right censored observations, are frequen...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
[Read before The Royal Statistical Society at a meeting organized by the Research Section o
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
We develop a simple semiparametric framework for combining censored and uncensored samples so that t...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...