Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring
Author:
Affiliation:
1. Department of Mathematics, Indian Institute of Technology, Patna, India
2. neurIOT Technologies LPP, CoWorks, Golf, Course, Gurugram, India
3. School of Mathematics, Yunnan Normal University, Kunming, People's Republic of China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1889999
Reference41 articles.
1. Progressive Censoring
2. The Art of Progressive Censoring
3. Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
4. Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes
5. Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution
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3. Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring;Statistics;2024-01-02
4. Statistical inference for the step-stress model with competing risks from the Kumaraswamy distribution under progressive type-II censoring;Communications in Statistics - Theory and Methods;2023-12-14
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