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
summary:This paper proposes a bias reduction of the coefficients' estimator for linear regression mo...
AbstractThis paper proposes a technique [termed censored average derivative estimation (CADE)] for s...
This thesis is mainly concerned with the estimation of parameters in autoregressive models with cens...
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...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
The multivariate contaminated normal (MCN) distribution which contains two extra parameters with res...
This work consists of two parts, both related with regression analysis for interval censored data. I...
A method for estimating variance and covariance components for both uncensored and censored traits i...
The specific problems in this thesis were the estimation of parameters of univariate populations fro...
Suppose the random vector (X; Y ) satises the regression model Y = m(X) + σ(X)ε, where m(.) = E(Y|.)...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
A frequent problem in regression analysis is when the observation of the response variable is censo...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
summary:This paper proposes a bias reduction of the coefficients' estimator for linear regression mo...
AbstractThis paper proposes a technique [termed censored average derivative estimation (CADE)] for s...
This thesis is mainly concerned with the estimation of parameters in autoregressive models with cens...
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...
International audienceIn this article, we propose some new generalizations of M-estimation procedure...
The multivariate contaminated normal (MCN) distribution which contains two extra parameters with res...
This work consists of two parts, both related with regression analysis for interval censored data. I...
A method for estimating variance and covariance components for both uncensored and censored traits i...
The specific problems in this thesis were the estimation of parameters of univariate populations fro...
Suppose the random vector (X; Y ) satises the regression model Y = m(X) + σ(X)ε, where m(.) = E(Y|.)...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)In the framework of censored non...
Approaches based on the maximum likelihood (ML) method and on the order statistics are described and...
A frequent problem in regression analysis is when the observation of the response variable is censo...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
summary:This paper proposes a bias reduction of the coefficients' estimator for linear regression mo...
AbstractThis paper proposes a technique [termed censored average derivative estimation (CADE)] for s...
This thesis is mainly concerned with the estimation of parameters in autoregressive models with cens...