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Communications in Statistics - Theory and Methods Volume 47, 2018 - Issue 10
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Review Article

Non-parametric quantile estimate for length-biased and right-censored data with competing risks

Feipeng ZhangCollege of Mathematics and Computer Science, Hunan Normal University, Changsha, ChinaView further author information
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Yong ZhouSchool of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China;Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
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Pages 2407-2424 | Received 05 Apr 2015, Accepted 01 Jun 2016, Published online: 08 Feb 2018

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Read on this site (2)

Jian-hua Shi, Jian-sen Xu & Jin-feng Xu. (2023) Strong asymptotic properties of kernel smoothing estimation for NA random variables with right censoring. Communications in Statistics - Theory and Methods 0:0, pages 1-11.
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Hongping Wu & Ang Shan. (2020) Nonparametric inference on mean residual life function with length-biased right-censored data. Communications in Statistics - Theory and Methods 49:9, pages 2065-2079.
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Articles from other publishers (2)

Fei-Peng Zhang, Cai-Yun Fan & Yong Zhou. (2020) Nonparametric Quantile Inference for Cause-specific Residual Life Function Under Length-biased Sampling. Acta Mathematicae Applicatae Sinica, English Series 36:4, pages 902-916.
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Hongping Wu, Xiaomin Cao & Caifeng Du. (2019) Estimating equations of additive mean residual life model with censored length-biased data. Statistics & Probability Letters 154, pages 108552.
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