Linear regression models with multiplicative distortions under new identifiability conditions
J Zhang, B Lin, Y Zhou - Statistica Neerlandica, 2024 - Wiley Online Library
This paper considers linear regression models when neither the response variable nor the
covariates can be directly observed, but are measured with multiplicative distortion …
covariates can be directly observed, but are measured with multiplicative distortion …
Modal linear regression models with multiplicative distortion measurement errors
J Zhang, G Li, Y Yang - … Analysis and Data Mining: The ASA …, 2022 - Wiley Online Library
We consider modal linear regression models when neither the response variable nor the
covariates can be directly observed, but are measured with multiplicative distortion …
covariates can be directly observed, but are measured with multiplicative distortion …
Measurement errors models with exponential parametric multiplicative distortions
J Zhang - Journal of Statistical Computation and Simulation, 2022 - Taylor & Francis
This paper consider a new exponential parametric distortion measurement errors model for
the estimation of correlation coefficient between unobserved variables of interest. These …
the estimation of correlation coefficient between unobserved variables of interest. These …
Nonlinear regression models with general distortion measurement errors
This paper considers nonlinear regression models when neither the response variable nor
the covariates can be directly observed, but are measured with both multiplicative and …
the covariates can be directly observed, but are measured with both multiplicative and …
Estimation and variable selection for partial linear single-index distortion measurement errors models
J Zhang - Statistical Papers, 2021 - Springer
This paper considers partial linear single-index regression models when all the variables
are measured with multiplicative distortion measurement errors. To eliminate the effect …
are measured with multiplicative distortion measurement errors. To eliminate the effect …
A nonparametric test for covariate-adjusted models
J Zhao, C Xie - Statistics & Probability Letters, 2018 - Elsevier
A nonparametric test for covariate-adjusted models - ScienceDirect Skip to main contentSkip to
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Logarithmic calibration for multiplicative distortion measurement errors regression models
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 …
for the distortion measurement error models, where neither the response variable nor the …
Logarithmic calibration for partial linear models with multiplicative distortion measurement errors
J Zhang, Y Yang, S Feng, Z Wei - Journal of Statistical …, 2020 - Taylor & Francis
In this paper, we propose a new identifiability condition by using the logarithmic calibration
for the multiplicative distortion partial linear measurement errors models, when neither the …
for the multiplicative distortion partial linear measurement errors models, when neither the …
Partial linear models with general distortion measurement errors
J Zhang - 2019 - projecteuclid.org
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 …
nor the covariates can be directly observed, but are instead measured with both …
Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models
In this paper we consider partial linear regression models when all the variables are
measured with multiplicative distortion measurement errors. To eliminate the effect caused …
measured with multiplicative distortion measurement errors. To eliminate the effect caused …