AbstractNonlinear functional errors-in-variables models are studied. An estimator for regression parameters is proposed. Consistency of the estimator is established
An estimation procedure based on estimating equations is presented for the parameters in a multivari...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractErrors-in-variables regression is the study of the association between covariates and respon...
AbstractNonlinear functional errors-in-variables models are studied. An estimator for regression par...
AbstractStructural errors-in-variables models with dependent spatial observations are studied. The p...
summary:Linear relations, containing measurement errors in input and output data, are taken into acc...
AbstractThis paper studies a semi-linear errors-in-variables model of the formYi=x′iβ+g(Ti)+ei,Xi=xi...
AbstractEstimators of the parameters of the functional multivariate linear errors-in-variables model...
Let an observed random vector Z(,t) be represented as Z(,t) = z(,t)(\u270) + (epsilon)(,t), where z(...
AbstractThis paper reviews and extends some of the known results in the estimation in “errors-in-var...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
Estimators of the parameters of the multivariate linear errors-in-variables model and the nonlinear ...
Estimation of the parameters of a non-linear model is considered when both measured variables have r...
A linear regression model, where covariates and a response are subject to errors, is considered in t...
This paper presents a solution to an important econometric problem, namely the root n consistent est...
An estimation procedure based on estimating equations is presented for the parameters in a multivari...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractErrors-in-variables regression is the study of the association between covariates and respon...
AbstractNonlinear functional errors-in-variables models are studied. An estimator for regression par...
AbstractStructural errors-in-variables models with dependent spatial observations are studied. The p...
summary:Linear relations, containing measurement errors in input and output data, are taken into acc...
AbstractThis paper studies a semi-linear errors-in-variables model of the formYi=x′iβ+g(Ti)+ei,Xi=xi...
AbstractEstimators of the parameters of the functional multivariate linear errors-in-variables model...
Let an observed random vector Z(,t) be represented as Z(,t) = z(,t)(\u270) + (epsilon)(,t), where z(...
AbstractThis paper reviews and extends some of the known results in the estimation in “errors-in-var...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
Estimators of the parameters of the multivariate linear errors-in-variables model and the nonlinear ...
Estimation of the parameters of a non-linear model is considered when both measured variables have r...
A linear regression model, where covariates and a response are subject to errors, is considered in t...
This paper presents a solution to an important econometric problem, namely the root n consistent est...
An estimation procedure based on estimating equations is presented for the parameters in a multivari...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractErrors-in-variables regression is the study of the association between covariates and respon...
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