Consistent estimation, Measurement errors, Reliability matrix, Stochastic linear restriction, Ultrastructural model, 62J05, 62H12, 62P20,
AbstractFor the estimation of coefficients in a measurement error model, the least squares method ut...
AbstractThis paper examines the role of Stein estimation in a linear ultrastructural form of the mea...
<p>Estimated coefficients (β-estimate), standard errors (SE), and 85% confidence intervals for varia...
A multivariate ultrastructural measurement error model is considered and it is assumed that some pri...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
This article considers an unreplicated ultrastructural model and discusses the asymptotic properties...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
This paper examines the role of Stein estimation in a linear ultrastructural form of the measurement...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
AbstractThis paper examines the role of Stein estimation in a linear ultrastructural form of the mea...
Measurement error causes a bias towards zero when estimating a panel data linear regression model. T...
In a simple linear regression model with measurement errors, the estimation of the slope parameter i...
This paper deals with asymptotic results on a multivariate ultrastructural errors-in-variables regre...
Balanced loss function, direct and reverse regression, ineasurement errors, ultrastructural model, 6...
AbstractFor the estimation of coefficients in a measurement error model, the least squares method ut...
AbstractThis paper examines the role of Stein estimation in a linear ultrastructural form of the mea...
<p>Estimated coefficients (β-estimate), standard errors (SE), and 85% confidence intervals for varia...
A multivariate ultrastructural measurement error model is considered and it is assumed that some pri...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
This article considers an unreplicated ultrastructural model and discusses the asymptotic properties...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
This paper examines the role of Stein estimation in a linear ultrastructural form of the measurement...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
AbstractThis paper examines the role of Stein estimation in a linear ultrastructural form of the mea...
Measurement error causes a bias towards zero when estimating a panel data linear regression model. T...
In a simple linear regression model with measurement errors, the estimation of the slope parameter i...
This paper deals with asymptotic results on a multivariate ultrastructural errors-in-variables regre...
Balanced loss function, direct and reverse regression, ineasurement errors, ultrastructural model, 6...
AbstractFor the estimation of coefficients in a measurement error model, the least squares method ut...
AbstractThis paper examines the role of Stein estimation in a linear ultrastructural form of the mea...
<p>Estimated coefficients (β-estimate), standard errors (SE), and 85% confidence intervals for varia...
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