Add to ORKGWe consider a polynomial regression model, where the covariate is measured with Gaussian errors. The measurement error variance is supposed to be known. The covariate is normally distributed with known mean and vari-ance. Quasi Score (QS) and Corrected Score (CS) are two consistent estima-tion methods, where the first makes use of the distribution of the covariate (structural method), while the latter does not (functional method). It may therefore be surmised that the former method is (asymptotically) more ef-ficient than the latter one. This can, indeed, be proved for the regression parameters. We do this by introducing a third, so-called Simple Score (SS), estimator, the efficiency of which turns out to be intermediate between QS and CS. ...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The paper is a survey of recent investigations by the authors and others into the relative efficienc...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
The paper is a survey of recent investigations by the authors and others into the relative efficienc...
We study a nonlinear measurement model where the response vari-able has a density belonging to the e...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The paper is a survey of recent investigations by the authors and others into the relative efficienc...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We consider a polynomial regression model, where the covariate is measured with Gaussian errors. The...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
We compare two consistent estimators of the parameter vector beta of a general exponential family me...
The paper is a survey of recent investigations by the authors and others into the relative efficienc...
We study a nonlinear measurement model where the response vari-able has a density belonging to the e...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score est...
The paper is a survey of recent investigations by the authors and others into the relative efficienc...