In this paper we consider partial linear regression models when all the variables are measured with multiplicative distortion measurement errors.
AbstractIn this paper we consider partial linear regression models when all the variables are measured with multiplicative distortion measurement errors.
In this paper we considers partial linear regression models when all the variables are measured with multiplicative distortion measurement errors.
We propose conditional variance estimation methods to calibrate the unobserved variables. A profile least-squares estimator associ- ated with the asymptotic ...
This paper considers partial linear single-index regression models when all the variables are measured with multiplicative distortion measurement errors.
Aug 10, 2021 · Four calibration procedures are used to estimate parameters in the modal linear regression models, namely, conditional mean calibration, ...
To eliminate the ef- fect caused by the distortion, we propose two calibration procedures: the con- ditional absolute mean calibration and the conditional ...
Calibration Procedures for Linear Regression Models with ...
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To eliminate the effect caused by the distortion, we propose two calibration procedures: the conditional absolute mean calibration and the conditional variance ...
May 11, 2023 · We establish the connections among the varying coefficient based estimators, the conditional mean calibration and the conditional absolute mean ...
This paper considers partial linear single-index regression models when all the variables are measured with multiplicative distortion measurement errors.