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Journal of Nonparametric Statistics Volume 23, 2011 - Issue 1
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Original Articles

Testing the linearity in partially linear models

Na Li Department of Mathematics, Beijing Institute of Technology, Beijing, People's Republic of China
,
Xingzhong Xu Department of Mathematics, Beijing Institute of Technology, Beijing, People's Republic of ChinaCorrespondence[email protected]
&
Pei Jin Department of Mathematics, Beijing Institute of Technology, Beijing, People's Republic of China
Pages 99-114 | Received 11 Aug 2009, Accepted 12 Jan 2010, Published online: 18 Mar 2010

Citations (10)

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Read on this site (2)

Taeryon Choi & Yoonsung Woo. (2015) A Partially Linear Model Using a Gaussian Process Prior. Communications in Statistics - Simulation and Computation 44:7, pages 1770-1786.
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Wangli Xu, Xu Guo & Lixing Zhu. (2012) Goodness-of-fitting for partial linear model with missing response at random. Journal of Nonparametric Statistics 24:1, pages 103-118.
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Articles from other publishers (8)

Muhammad Aslam & Muhammad Saleem. (2023) Neutrosophic test of linearity with application. AIMS Mathematics 8:4, pages 7981-7989.
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Na Li. 2018. Topics in Splines and Applications. Topics in Splines and Applications.
Liangjun Su & Yonghui Zhang. 2016. Essays in Honor of Aman Ullah. Essays in Honor of Aman Ullah 137 204 .
Cuizhen Niu, Xu Guo, Wangli Xu & Lixing Zhu. (2016) Checking nonparametric component for partial linear regression model with missing response. Journal of Statistical Planning and Inference 168, pages 1-19.
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Saralees Nadarajah, Sergey Bityukov & Nikolai Krasnikov. (2015) Confidence distributions: A review. Statistical Methodology 22, pages 23-46.
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Wangli Xu & Xu Guo. (2012) Checking the adequacy of partial linear models with missing covariates at random. Annals of the Institute of Statistical Mathematics 65:3, pages 473-490.
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Khalid Chokri & Djamal Louani. (2013) Additivity test on the nonlinear part in partially linear models. Comptes Rendus Mathematique 351:3-4, pages 143-148.
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Xinyu Zhang. (2015) Optimal Model Averaging Estimation for Partially Linear Models. SSRN Electronic Journal.
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