Nonparametric smoothed quantile difference estimation for length-biased and right-censored data-Reference-Cited by-同舟云学术

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Nonparametric smoothed quantile difference estimation for length-biased and right-censored data

Published:2020-07-20 Issue: Volume: Page:1-16
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Shi Jianhua¹,Liu Yutao²,Xu Jinfeng³⁴

Affiliation:

1. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou, China

2. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China

3. Zhejiang Institute of Research and Innovation, The University of Hong Kong, Hangzhou, China

4. Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

University of Hong Kong, Zhejiang Institute of Research and Innovation Seed Fund and the Hong Kong General Research Fund

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1791340

Reference30 articles.

1. A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up

2. Nonparametric confidence intervals for quantile intervals and quantile differences based on record statistics

3. Length-Biased Sampling With Right Censoring

4. Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data

5. A general quantile residual life model for length‐biased right‐censored data

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1. Strong asymptotic properties of kernel smoothing estimation for NA random variables with right censoring;Communications in Statistics - Theory and Methods;2023-03-20

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