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Primary Article

Generalized Partially Linear Measurement Error Models

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Pages 237-250 | Published online: 01 Jan 2012

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Read on this site (12)

Jun Zhang & Yujie Gai. (2022) Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion. Communications in Statistics - Simulation and Computation 51:5, pages 2158-2190.
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Zhensheng Huang, Zhiqiang Jiang & Jing Li. (2022) Statistical inference for a single-index varying coefficient model with measurement errors in all covariates. Journal of Statistical Computation and Simulation 92:5, pages 1047-1061.
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Jun Zhang, Yujie Gai & Feng Li. (2022) Testing symmetry for additive distortion measurement errors data. Communications in Statistics - Simulation and Computation 51:3, pages 1046-1065.
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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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Jafer Rahman, Shihua Luo, Yawen Fan & Xiaohui Liu. (2020) Semiparametric efficient inferences for generalised partially linear models. Journal of Nonparametric Statistics 32:3, pages 704-724.
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Zhenghui Feng, Yujie Gai & Jun Zhang. (2019) Correlation curve estimation for multiplicative distortion measurement errors data. Journal of Nonparametric Statistics 31:2, pages 435-450.
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Zhensheng Huang & Xin Zhao. (2019) Statistical estimation for a partially linear single-index model with errors in all variables. Communications in Statistics - Theory and Methods 48:5, pages 1136-1148.
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Xin Zhao & Zhensheng Huang. (2018) Varying-coefficient single-index measurement error model. Journal of Applied Statistics 45:12, pages 2128-2144.
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Jun Zhang & Zhenghui Feng. (2017) Partial linear single-index models with additive distortion measurement errors. Communications in Statistics - Theory and Methods 46:24, pages 12165-12193.
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Jun Zhang, Qian Chen & Nanguang Zhou. (2017) Correlation analysis with additive distortion measurement errors. Journal of Statistical Computation and Simulation 87:4, pages 664-688.
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Yujie Gai, Jun Zhang & Yiping Yang. Non parametric regression models with additive distortions. Communications in Statistics - Theory and Methods 0:0, pages 1-22.
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Articles from other publishers (17)

Shakhawat Hossain, Saumen Mandal & Le An Lac. (2022) Pretest and shrinkage estimators in generalized partially linear models with application to real data. Canadian Journal of Statistics 51:4, pages 975-1003.
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Varadan Sevilimedu & Lili Yu. (2022) Simulation extrapolation method for measurement error: A review. Statistical Methods in Medical Research 31:8, pages 1617-1636.
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JooChul Lee, HaiYing Wang & Elizabeth D. Schifano. (2020) Online updating method to correct for measurement error in big data streams. Computational Statistics & Data Analysis 149, pages 106976.
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Qianqian Wang, Yanyuan Ma & Guangren Yang. (2019) Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function. TEST 29:2, pages 553-572.
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Jun Zhang, Yujie Gai, Xia Cui & Gaorong Li. (2020) Measuring symmetry and asymmetry of multiplicative distortion measurement errors data. Brazilian Journal of Probability and Statistics 34:2.
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Xiao Song & Ching‐Yun Wang. (2018) GMM nonparametric correction methods for logistic regression with error‐contaminated covariates and partially observed instrumental variables. Scandinavian Journal of Statistics 46:3, pages 898-919.
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Yiping Yang, Tiejun Tong & Gaorong Li. (2018) SIMEX estimation for single-index model with covariate measurement error. AStA Advances in Statistical Analysis 103:1, pages 137-161.
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Hanze Zhang, Yangxin Huang, Wei Wang, Henian Chen & Barbara Langland-Orban. (2017) Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features. Statistical Methods in Medical Research 28:2, pages 569-588.
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Yangxin Huang & Tao Lu. (2016) Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features. Computational Statistics 32:1, pages 179-196.
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Jun Zhang, Zhenghui Feng & Bu Zhou. (2014) A revisit to correlation analysis for distortion measurement error data. Journal of Multivariate Analysis 124, pages 116-129.
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Chenlei Leng, Hua Liang & Neil Martinson. (2011) Parametric variable selection in generalized partially linear models with an application to assess condom use by HIV‐infected patients. Statistics in Medicine 30:16, pages 2015-2027.
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Arnab Maity & Tatiyana V. Apanasovich. (2011) Estimation via corrected scores in general semiparametric regression models with error-prone covariates. Electronic Journal of Statistics 5:none.
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LAN XUE & HUA LIANG. (2010) Polynomial Spline Estimation for a Generalized Additive Coefficient Model. Scandinavian Journal of Statistics 37:1, pages 26-46.
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HUA LIANG, YONGSONG QIN, XINYU ZHANG & DAVID RUPPERT. (2009) Empirical Likelihood-Based Inferences for Generalized Partially Linear Models. Scandinavian Journal of Statistics 36:3, pages 433-443.
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Hua Liang. (2007) Generalized partially linear mixed-effects models incorporating mismeasured covariates. Annals of the Institute of Statistical Mathematics 61:1, pages 27-46.
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Tatiyana V. Apanasovich, Raymond J. Carroll & Arnab Maity. (2009) SIMEX and standard error estimation in semiparametric measurement error models. Electronic Journal of Statistics 3:none.
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Hua Liang. (2008) Generalized partially linear models with missing covariates. Journal of Multivariate Analysis 99:5, pages 880-895.
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