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Communications in Statistics - Simulation and Computation Volume 50, 2021 - Issue 3
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Original Articles

Detection of marginal heteroscedasticity for partial linear single-index models

Jun Zhanga College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen University, Shenzhen, ChinaORCID Iconhttps://orcid.org/0000-0003-4332-5182
ORCID Icon,
Yujie Gaib School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China;c Department of Biostatistics School of Public Health, University of Texas at Houston, Houston, TX, USA
&
Bingqing Lina College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen University, Shenzhen, ChinaCorrespondence[email protected]
Pages 724-743 | Received 10 Jul 2018, Accepted 06 Dec 2018, Published online: 18 Feb 2019

Citations (3)

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Read on this site (2)

Yujie Gai & Jun Zhang. (2022) Single-index relative error regression models. Communications in Statistics - Simulation and Computation 51:5, pages 2252-2267.
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Jun Zhang & Bingqing Lin. (2021) Estimation of correlation coefficient with general distortion measurement errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-31.
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Articles from other publishers (1)

Jian-Qiang Zhao, Jianquan Li, Yan-Yong Zhao, Junyan He & Waled Khaled. (2020) Checking Heteroscedasticity in Partially Linear Single-Index Models Using Pairwise Distance. IEEE Access 8, pages 25286-25298.
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