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Journal of Applied Statistics Volume 49, 2022 - Issue 8
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Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring

Amulya Kumar Mahtoa Department of Mathematics, Indian Institute of Technology, Patna, IndiaORCID Iconhttps://orcid.org/0000-0001-8389-5257View further author information
ORCID Icon,
Chandrakant Lodhib neurIOT Technologies LPP, CoWorks, Golf, Course, Gurugram, IndiaView further author information
,
Yogesh Mani Tripathia Department of Mathematics, Indian Institute of Technology, Patna, IndiaORCID Iconhttps://orcid.org/0000-0002-9687-6036View further author information
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Liang Wangc School of Mathematics, Yunnan Normal University, Kunming, People's Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2600-5112View further author information
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Pages 2064-2092 | Received 17 Aug 2020, Accepted 06 Feb 2021, Published online: 23 Feb 2021

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Rani Kumari, Yogesh Mani Tripathi, Liang Wang & Rajesh Kumar Sinha. (2024) Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring. Statistics 58:1, pages 142-175.
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Xinjing Wang, Tianrui Ye & Wenhao Gui. 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 0:0, pages 1-28.
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Articles from other publishers (10)

Aditi Chaturvedi. (2024) Randomly Censored Kumaraswamy Distribution. Journal of Statistical Theory and Applications 23:1, pages 1-25.
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Aliyu Ismail Ishaq, Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Rajalingam Sokkalingam, Pitchaya Wiratchotisatian, Abdullahi Garba Usman & Sani Isah Abba. (2023) Log-Kumaraswamy distribution: its features and applications. Frontiers in Applied Mathematics and Statistics 9.
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Amal S. Hassan, Rana M. Mousa & Mahmoud H. Abu-Moussa. (2023) Bayesian Analysis of Generalized Inverted Exponential Distribution Based on Generalized Progressive Hybrid Censoring Competing Risks Data. Annals of Data Science.
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Ying Zhou, Liang Wang, Tzong-Ru Tsai & Yogesh Tripathi. (2023) Estimation of Dependent Competing Risks Model with Baseline Proportional Hazards Models under Minimum Ranked Set Sampling. Mathematics 11:6, pages 1461.
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. 2023. Hybrid Censoring: Models, Methods and Applications. Hybrid Censoring: Models, Methods and Applications 361 385 .
N. Balakrishnan, Erhard Cramer & Debasis Kundu. 2023. Hybrid Censoring: Models, Methods and Applications. Hybrid Censoring: Models, Methods and Applications 297 319 .
Amal S. Hassan, Rana M. Mousa & Mahmoud H. Abu-Moussa. (2022) Analysis of Progressive Type-II Competing Risks Data, with Applications. Lobachevskii Journal of Mathematics 43:9, pages 2479-2492.
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Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse & Ahlam H. Tolba. (2022) Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application. Complexity 2022, pages 1-27.
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Ahmed Elshahhat & Wael S. Abu El Azm. (2022) Statistical reliability analysis of electronic devices using generalized progressively hybrid censoring plan. Quality and Reliability Engineering International 38:2, pages 1112-1130.
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Subin Cho & Kyeongjun Lee. (2021) Exact Likelihood Inference for a Competing Risks Model with Generalized Type II Progressive Hybrid Censored Exponential Data. Symmetry 13:5, pages 887.
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