Add to ORKGThis thesis is concerned with the single-equation errors-in-variables estimation of rational expecta...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EI...
AbstractThis paper reviews and extends some of the known results in the estimation in “errors-in-var...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
This paper introduces a statistical method to estimate the parameters of bivariate structural errors...
Estimators of the parameters of the multivariate linear errors-in-variables model and the nonlinear ...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
This thesis is concerned with the single-equation errors-in-variables estimation of rational expecta...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EI...
AbstractThis paper reviews and extends some of the known results in the estimation in “errors-in-var...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
This paper introduces a statistical method to estimate the parameters of bivariate structural errors...
Estimators of the parameters of the multivariate linear errors-in-variables model and the nonlinear ...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
The present article considers the problem of consistent estimation in measurement error models. A li...
This thesis is concerned with the single-equation errors-in-variables estimation of rational expecta...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EI...