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In this article, we propose a new identifiability condition by using the logarithmic calibration
for the distortion measurement error models, where neither the response variable nor the …

This paper considers partial linear regression models when neither the response variable
nor the covariates can be directly observed, but are instead measured with both …

This research provides a projection-based test to check parametric single-index regression
structure in variable-adjusted models. An adaptive-to-model strategy is employed, which …

This paper studies the estimation of correlation coefficient between unobserved variables of
interest. These unobservable variables are distorted in a multiplicative fashion by an …

In this paper, we proposed a parametric hypothesis test of the multiplicative distortion model
under the exponentially distributed but unobserved random variable. The unobservable …

We propose a covariance ratio measure for symmetry or asymmetry of a probability density
function. This measure is constructed by the ratio of the covariance connected with the …

To study the symmetry and asymmetry of the model error under multiplicative distortion
measurement errors setting, we propose a correlation coefficient-based measure between …

This paper studies the estimation of correlation coefficient between unobserved variables of
interest. These unobservable variables are distorted in a additive fashion by an observed …

In this paper, we used the newly proposed exponential calibration for the additive distortion
measurement errors models, where neither the response variable nor the covariates can be …