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Journal of Nonparametric Statistics Volume 27, 2015 - Issue 3
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Original Articles

Error variance estimation in semi-functional partially linear regression models

Germán AneirosDepartamento de Matemáticas, Universidad de A Coruña, 15071 ACoruña, Spain
,
Nengxiang LingSchool of Mathematics, Hefei University of Technology, Hefei230039, People's Republic of ChinaCorrespondence[email protected]
&
Philippe VieuInstitut de Mathématiques, Université Paul Sabatier, Toulouse, France
Pages 316-330 | Received 18 Jan 2014, Accepted 03 Apr 2015, Published online: 24 Jul 2015

Citations (17)

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Read on this site (2)

Nengxiang Ling & Philippe Vieu. (2018) Nonparametric modelling for functional data: selected survey and tracks for future. Statistics 52:4, pages 934-949.
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Nengxiang Ling, Yang Liu & Philippe Vieu. (2016) Conditional mode estimation for functional stationary ergodic data with responses missing at random. Statistics 50:5, pages 991-1013.
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Articles from other publishers (15)

Bin Yang, Min Chen & Jianjun Zhou. (2023) Testing for Error Correlation in Semi-Functional Linear Models. Journal of Systems Science and Complexity.
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Nengxiang Ling & Philippe Vieu. (2020) On semiparametric regression in functional data analysis. WIREs Computational Statistics 13:6.
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Rongjie Jiang, Liming Wang & Yang Bai. (2020) Optimal model averaging estimator for semi-functional partially linear models. Metrika 84:2, pages 167-194.
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Nengxiang Ling, Lingyu Wang & Philippe Vieu. (2019) Convergence rate of kernel regression estimation for time series data when both response and covariate are functional. Metrika 83:6, pages 713-732.
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Nengxiang Ling, Germán Aneiros & Philippe Vieu. (2017) kNN estimation in functional partial linear modeling. Statistical Papers 61:1, pages 423-444.
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Jianjun Zhou & Qingyan Peng. (2020) Estimation for functional partial linear models with missing responses. Statistics & Probability Letters 156, pages 108598.
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Ping Yu, Zhongyi Zhu & Zhongzhan Zhang. (2018) Robust exponential squared loss-based estimation in semi-functional linear regression models. Computational Statistics 34:2, pages 503-525.
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Mohamed Chaouch. (2019) Volatility estimation in a nonlinear heteroscedastic functional regression model with martingale difference errors. Journal of Multivariate Analysis 170, pages 129-148.
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Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest & Philippe Vieu. (2019) Recent advances in functional data analysis and high-dimensional statistics. Journal of Multivariate Analysis 170, pages 3-9.
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Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian & Yanghui Liu. (2019) Estimation and testing for partially functional linear errors-in-variables models. Journal of Multivariate Analysis 170, pages 296-314.
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Shuzhi Zhu & Peixin Zhao. (2018) Tests for the linear hypothesis in semi-functional partial linear regression models. Metrika 82:2, pages 125-148.
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Nengxiang Ling, Rui Kan, Philippe Vieu & Shuyu Meng. (2018) Semi-functional partially linear regression model with responses missing at random. Metrika 82:1, pages 39-70.
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Yuejin Zhou, Yebin Cheng, Wenlin Dai & Tiejun Tong. (2017) Optimal difference-based estimation for partially linear models. Computational Statistics 33:2, pages 863-885.
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Arfan Raheen AfzalCheng DongXuewen Lu. (2017) Estimation of partly linear additive hazards model with left-truncated and right-censored data. Statistical Modelling 17:6, pages 423-448.
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Graciela Boente & Alejandra Vahnovan. (2017) Robust estimators in semi-functional partial linear regression models. Journal of Multivariate Analysis 154, pages 59-84.
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