Jun Zhang

According to our database, Jun Zhang authored at least 36 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nonparametric multiplicative distortion measurement errors models with bias reduction.

Jun Zhang

Commun. Stat. Simul. Comput., April, 2024

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data.

Yujie Gai, Jun Zhang, Yue Zhou

Commun. Stat. Simul. Comput., March, 2024

Estimation of correlation coefficient under a linear multiplicative distortion measurement errors model.

Jun Zhang, Baojun Yang, Zhenghui Feng

Commun. Stat. Simul. Comput., January, 2024

Average derivation estimation with multiplicative distortion measurement errors.

Zhenghui Feng, Jun Zhang, Baojun Yang

Commun. Stat. Simul. Comput., January, 2024

2023

Nonlinear multiplicative distortion regression models with second-order estimation.

Jun Zhang

Commun. Stat. Simul. Comput., December, 2023

Estimation of correlation coefficient with general distortion measurement errors.

Jun Zhang, Bingqing Lin

Commun. Stat. Simul. Comput., September, 2023

Kernel density estimation for multiplicative distortion measurement regression models.

Jun Zhang, Aixian Chen, Zhenghong Wei

Commun. Stat. Simul. Comput., May, 2023

Absolute logarithmic calibration for correlation coefficient with multiplicative distortion.

Jun Zhang, Zhuoer Xu, Zhenghong Wei

Commun. Stat. Simul. Comput., February, 2023

2022

Modal linear regression models with multiplicative distortion measurement errors.

Jun Zhang, Gaorong Li, Yiping Yang

Stat. Anal. Data Min., 2022

General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors.

Huili Zhou, Jun Zhang

Commun. Stat. Simul. Comput., 2022

Testing symmetry for additive distortion measurement errors data.

Jun Zhang, Yujie Gai, Feng Li

Commun. Stat. Simul. Comput., 2022

Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion.

Jun Zhang, Yujie Gai

Commun. Stat. Simul. Comput., 2022

Nonlinear regression models with profile nonlinear least squares estimation.

Jun Zhang, Yujie Gai

Commun. Stat. Simul. Comput., 2022

Partial index additive models with additive distortion measurement errors.

Jun Zhang, Sanying Feng, Yujie Gai

Commun. Stat. Simul. Comput., 2022

Testing symmetry of model errors for nonparametric regression models by using correlation coefficient¹.

Yujie Gai, Xuehu Zhu, Jun Zhang

Commun. Stat. Simul. Comput., 2022

Detection of the symmetry of model errors for partial linear single-index models.

Yujie Gai, Jun Zhang

Commun. Stat. Simul. Comput., 2022

Single-index relative error regression models.

Yujie Gai, Jun Zhang

Commun. Stat. Simul. Comput., 2022

Detection the symmetry or asymmetry of model errors in partial linear models.

Yujie Gai, Jun Zhang

Commun. Stat. Simul. Comput., 2022

Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient.

Yujie Gai, Yusheng Wei, Jun Zhang, Aixian Chen

Commun. Stat. Simul. Comput., 2022

2021

Exponential calibration for correlation coefficient with additive distortion measurement errors.

Jun Zhang, Zhuoer Xu

Stat. Anal. Data Min., 2021

Kernel density estimation for partial linear multivariate responses models.

Jun Zhang, Bingqing Lin, Yan Zhou

J. Multivar. Anal., 2021

Detection of marginal heteroscedasticity for partial linear single-index models.

Jun Zhang, Yujie Gai, Bingqing Lin

Commun. Stat. Simul. Comput., 2021

Linear regression models with general distortion measurement errors.

Jun Zhang, Yujie Gai

Commun. Stat. Simul. Comput., 2021

2020

Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models.

Jun Zhang, Jing Zhang, Zhenghui Feng, Xu Guo

Commun. Stat. Simul. Comput., 2020

Estimation of the error distribution function for partial linear single-index models.

Jun Zhang, Cuizhen Niu, Tao Lu, Zhenghong Wei

Commun. Stat. Simul. Comput., 2020

Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models.

Jun Zhang, Bingqing Lin, Zhenghui Feng

Comput. Stat. Data Anal., 2020

2019

A statistical normalization method and differential expression analysis for RNA-seq data between different species.

Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin, Jun Zhang

BMC Bioinform., 2019

2018

Estimation and hypothesis test for partial linear multiplicative models.

Jun Zhang, Zhenghui Feng, Heng Peng

Comput. Stat. Data Anal., 2018

2017

Stable prediction in high-dimensional linear models.

Bingqing Lin, Qihua Wang, Jun Zhang, Zhen Pang

Stat. Comput., 2017

Estimation and hypothesis test on partial linear models with additive distortion measurement errors.

Jun Zhang, Yan Zhou, Bingqing Lin, Yao Yu

Comput. Stat. Data Anal., 2017

2016

Ridge-forward quadratic discriminant analysis in high-dimensional situations.

Cui Xiong, Jun Zhang, Xinchao Luo

J. Syst. Sci. Complex., 2016

2015

Checking the adequacy for a distortion errors-in-variables parametric regression model.

Jun Zhang, Gaorong Li, Zhenghui Feng

Comput. Stat. Data Anal., 2015

2014

A revisit to correlation analysis for distortion measurement error data.

Jun Zhang, Zhenghui Feng, Bu Zhou

J. Multivar. Anal., 2014

2013

Estimation in linear regression models with measurement errors subject to single-indexed distortion.

Jun Zhang, Yujie Gai, Ping Wu

Comput. Stat. Data Anal., 2013

2012

On a dimension reduction regression with covariate adjustment.

Jun Zhang, Li-Ping Zhu, Li-Xing Zhu

J. Multivar. Anal., 2012

Nonlinear models with measurement errors subject to single-indexed distortion.

Jun Zhang, Li-Xing Zhu, Hua Liang

J. Multivar. Anal., 2012