Least squares estimators in measurement error models under the balanced loss function
- Shalabh
DOIAbstract
Balanced loss function, direct and reverse regression, ineasurement errors, ultrastructural model, 62J05,
Balanced loss function, direct and reverse regression, ineasurement errors, ultrastructural model, 62J05,
Master of ScienceDepartment of StatisticsWeixing SongThere has been a continuing interest among stat...
A Monte Carlo simulation is used to compare estimation and inference procedures in least absolute va...
<p>S.E. = Standard Error, VIF = Variance Inflation Factor.</p><p>*p-value <0.05.</p
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
This paper examines the role of Stein estimation in a linear ultrastructural form of the measurement...
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...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
AbstractA linear functional errors-in-variables model with unknown slope parameter and Gaussian erro...
Consistent estimation, Measurement errors, Reliability matrix, Stochastic linear restriction, Ultras...
A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is co...
. We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. Th...
The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters o...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
Master of ScienceDepartment of StatisticsWeixing SongThere has been a continuing interest among stat...
Master of ScienceDepartment of StatisticsWeixing SongThere has been a continuing interest among stat...
A Monte Carlo simulation is used to compare estimation and inference procedures in least absolute va...
<p>S.E. = Standard Error, VIF = Variance Inflation Factor.</p><p>*p-value <0.05.</p
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
This paper examines the role of Stein estimation in a linear ultrastructural form of the measurement...
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...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
AbstractA linear functional errors-in-variables model with unknown slope parameter and Gaussian erro...
Consistent estimation, Measurement errors, Reliability matrix, Stochastic linear restriction, Ultras...
A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is co...
. We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. Th...
The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters o...
<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
Master of ScienceDepartment of StatisticsWeixing SongThere has been a continuing interest among stat...
Master of ScienceDepartment of StatisticsWeixing SongThere has been a continuing interest among stat...
A Monte Carlo simulation is used to compare estimation and inference procedures in least absolute va...
<p>S.E. = Standard Error, VIF = Variance Inflation Factor.</p><p>*p-value <0.05.</p
Add to ORKG