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Communications in Statistics - Simulation and Computation Volume 47, 2018 - Issue 8
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Articles

Estimation for the censored partially linear quantile regression models

Jiang DuCollege of Applied Sciences, Beijing University of Technology, Beijing, China;Collaborative Innovation Center on Capital Social Construction and Social Management, Beijing, ChinaCorrespondence[email protected]
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Zhongzhan ZhangCollege of Applied Sciences, Beijing University of Technology, Beijing, China;Collaborative Innovation Center on Capital Social Construction and Social Management, Beijing, ChinaView further author information
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Dengke XuDepartment of Statistics, Zhejiang Agriculture and Forestry University, Hangzhou, ChinaView further author information
Pages 2393-2408 | Received 25 Mar 2017, Accepted 08 Jun 2017, Published online: 18 Jul 2017

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Read on this site (1)

Piaoxuan Xiao & Guochang Wang. (2022) Partial functional linear regression with autoregressive errors. Communications in Statistics - Theory and Methods 51:13, pages 4515-4536.
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Articles from other publishers (2)

Nengxiang Ling, Jintao Yang, Tonghui Yu, Hui Ding & Zhaoli Jia. (2024) Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses. Communications in Mathematics and Statistics.
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Gabriela M. Rodrigues, Edwin M. M. Ortega, Gauss M. Cordeiro & Roberto Vila. (2023) Quantile Regression with a New Exponentiated Odd Log-Logistic Weibull Distribution. Mathematics 11:6, pages 1518.
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