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Journal of Statistical Computation and Simulation Volume 90, 2020 - Issue 10
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Articles

Logarithmic calibration for partial linear models with multiplicative distortion measurement errors

Jun ZhangCollege of Mathematics and Statistics, Shenzhen University, Shenzhen, People's Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-4332-5182View further author information
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Yiping YangCollege of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, People's Republic of ChinaView further author information
,
Sanying FengSchool of Mathematics and Statistics, Zhengzhou University, Zhengzhou, People's Republic of ChinaView further author information
&
Zhenghong WeiCollege of Mathematics and Statistics, Shenzhen University, Shenzhen, People's Republic of ChinaCorrespondence[email protected]
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Pages 1875-1896 | Received 20 Dec 2019, Accepted 30 Mar 2020, Published online: 09 Apr 2020

Citations (19)

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Read on this site (16)

Jun Zhang. (2024) Nonparametric multiplicative distortion measurement errors models with bias reduction. Communications in Statistics - Simulation and Computation 53:4, pages 1952-1972.
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Yujie Gai, Jun Zhang & Yue Zhou. (2024) Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data. Communications in Statistics - Simulation and Computation 53:3, pages 1594-1617.
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Jun Zhang, Baojun Yang & Zhenghui Feng. (2024) Estimation of correlation coefficient under a linear multiplicative distortion measurement errors model. Communications in Statistics - Simulation and Computation 53:1, pages 62-93.
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Zhenghui Feng, Jun Zhang & Baojun Yang. (2024) Average derivation estimation with multiplicative distortion measurement errors. Communications in Statistics - Simulation and Computation 53:1, pages 30-61.
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Jun Zhang. (2023) Nonlinear multiplicative distortion regression models with second-order estimation. Communications in Statistics - Simulation and Computation 52:12, pages 5894-5924.
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Jun Zhang & Bingqing Lin. (2023) Estimation of correlation coefficient with general distortion measurement errors. Communications in Statistics - Simulation and Computation 52:9, pages 4491-4521.
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Jun Zhang, Zhenghui Feng & Yue Zhou. (2023) Testing symmetry of model errors for non linear multiplicative distortion measurement error models. Communications in Statistics - Theory and Methods 0:0, pages 1-22.
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Jun Zhang, Aixian Chen & Zhenghong Wei. (2023) Kernel density estimation for multiplicative distortion measurement regression models. Communications in Statistics - Simulation and Computation 52:5, pages 1733-1752.
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Jun Zhang & Zhenghui Feng. (2023) A parametric hypothesis test for a global power law and local nonparametric trend model with multiplicative distortion measurement errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-18.
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Jun Zhang, Zhuoer Xu & Zhenghong Wei. (2023) Absolute logarithmic calibration for correlation coefficient with multiplicative distortion. Communications in Statistics - Simulation and Computation 52:2, pages 482-505.
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Huili Zhou & Jun Zhang. (2022) General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors. Communications in Statistics - Simulation and Computation 51:11, pages 6352-6370.
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Jun Zhang. (2022) Measurement errors models with exponential parametric multiplicative distortions. Journal of Statistical Computation and Simulation 92:12, pages 2467-2500.
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Yujie Gai & Jun Zhang. (2022) Detection the symmetry or asymmetry of model errors in partial linear models. Communications in Statistics - Simulation and Computation 51:5, pages 2217-2234.
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Jun Zhang & Xia Cui. (2021) Logarithmic calibration for nonparametric multiplicative distortion measurement errors models. Journal of Statistical Computation and Simulation 91:13, pages 2623-2644.
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Jun Zhang, Xuan Yu, Siming Deng, JiongTao Zhong, Yisheng Zhou & Bingqing Lin. Estimation of correlation coefficient with monotone transformation and multiplicative distortions. Communications in Statistics - Theory and Methods 0:0, pages 1-33.
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Siming Deng, Jun Zhang, Yingcong Huang, Jiongtao Zhong & Xiaozhen Yang. A revisit to Pearson correlation coefficient under multiplicative distortions. Communications in Statistics - Simulation and Computation 0:0, pages 1-23.
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Articles from other publishers (3)

Jun Zhang, Bingqing Lin & Yan Zhou. (2023) Linear regression models with multiplicative distortions under new identifiability conditions. Statistica Neerlandica 78:1, pages 25-67.
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Jun Zhang, Gaorong Li & Yiping Yang. (2021) Modal linear regression models with multiplicative distortion measurement errors. Statistical Analysis and Data Mining: The ASA Data Science Journal 15:1, pages 15-42.
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Jun Zhang & Zhuoer Xu. (2021) Exponential calibration for correlation coefficient with additive distortion measurement errors. Statistical Analysis and Data Mining: The ASA Data Science Journal 14:3, pages 271-289.
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