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Research Article

On partially observed competing risk model under generalized progressive hybrid censoring for Lomax distribution

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Pages 562-586 | Accepted 25 Feb 2022, Published online: 13 Jun 2022

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Read on this site (3)

Liangliang Zhuang, Ancha Xu, Binbing Wang, Yuguo Xue & Songzi Zhang. (2023) Data analysis of progressive‐stress accelerated life tests with group effects. Quality Technology & Quantitative Management 20:6, pages 763-783.
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Liang Wang, Shuo-Jye Wu, Yogesh Mani Tripathi & Sanku Dey. (2023) Estimation and prediction of modified progressive hybrid censored data from inverted exponentiated Rayleigh distribution. Quality Technology & Quantitative Management 0:0, pages 1-23.
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Liang Wang, Chunfang Zhang, Shuo-Jye Wu, Sanku Dey & Yuhlong Lio. (2023) Estimation for partially observed left truncation and right censored competing risks data from a generalized inverted exponential distribution with illustrations. Quality Technology & Quantitative Management 0:0, pages 1-31.
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Articles from other publishers (1)

Mohamed S. Eliwa & Essam A. Ahmed. (2023) Reliability analysis of constant partially accelerated life tests under progressive first failure type-II censored data from Lomax model: EM and MCMC algorithms. AIMS Mathematics 8:1, pages 29-60.
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