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Original Articles

Statistical inference for varying-coefficient partially linear errors-in-variables models with missing data

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Pages 5621-5636 | Received 13 Jul 2017, Accepted 24 Aug 2018, Published online: 11 Jan 2019

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Yuye Zou, Chengxin Wu, Guoliang Fan & Riquan Zhang. (2023) Jackknife empirical likelihood of error variance for partially linear varying-coefficient model with missing covariates. Communications in Statistics - Theory and Methods 52:6, pages 1744-1766.
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Bao-Hua Wang & Han-Ying Liang. (2022) Empirical likelihood in varying-coefficient quantile regression with missing observations. Communications in Statistics - Theory and Methods 51:1, pages 267-283.
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Jun-Qiang Yang, Yuan Dong, Radhey Singh, Cheng Dong & Xuewen Lu. (2020) Efficient estimation of a varying-coefficient partially linear proportional hazards model with current status data. Journal of Statistical Computation and Simulation 90:1, pages 90-111.
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Articles from other publishers (4)

Weiwei Zhang, Jingxuan Luo & Shengyun Ma. (2023) Estimation in Semi-Varying Coefficient Heteroscedastic Instrumental Variable Models with Missing Responses. Mathematics 11:23, pages 4853.
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Bao Hua Wang & Han Ying Liang. (2023) Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations. Acta Mathematica Sinica, English Series 39:9, pages 1701-1726.
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Yuye Zou & Chengxin Wu. (2020) Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random. Journal of Inequalities and Applications 2020:1.
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Yu Zhang, Xinsheng Liu & Mohamed Sief. (2020) Strong Consistency of Estimators in a Partially Linear Model with Asymptotically Almost Negatively Associated Errors. Discrete Dynamics in Nature and Society 2020, pages 1-19.
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