Moment estimation of measurement errors.The slope of the best-fit line from minimizing a function of the squared vertical and horizontal errors is the root of a polynomial of degree four. We use second order and fourth order moment equations to estimate the ratio of the variances of errors in the measurement error model and this estimate is used to introduce two new estimators. A simulation study shows improvement in bias and mean squared error of each of these new estimators over the ordinary least squares estimator.N
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
This paper introduces a statistical method to estimate the parameters of bivariate structural errors...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Moment estimation of measurement errors.The slope of the best-fit line from minimizing a function of...
Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope.T...
The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of ...
An investigation of the performance of five different estimators in the measurement error regression...
In the calibration of a measurement system, data are collected in order to estimate a mathematical m...
Recently, in this journal, there has been revised attention on estimating the parameters of the erro...
We consider a new estimator for the quadratic errors-in-variables model that exploits higher-order m...
The present article considers the problem of consistent estimation in measurement error models. A li...
This paper introduces a new weighted geometric mean (WG) estimator to fit regression line when both ...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
This paper introduces a statistical method to estimate the parameters of bivariate structural errors...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
Moment estimation of measurement errors.The slope of the best-fit line from minimizing a function of...
Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope.T...
The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of ...
An investigation of the performance of five different estimators in the measurement error regression...
In the calibration of a measurement system, data are collected in order to estimate a mathematical m...
Recently, in this journal, there has been revised attention on estimating the parameters of the erro...
We consider a new estimator for the quadratic errors-in-variables model that exploits higher-order m...
The present article considers the problem of consistent estimation in measurement error models. A li...
This paper introduces a new weighted geometric mean (WG) estimator to fit regression line when both ...
A measurement error model is a regression model with (substantial) measurement errors in the variabl...
This paper introduces a statistical method to estimate the parameters of bivariate structural errors...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...