Reliability analysis of inverted exponentiated Rayleigh parameters via progressive hybrid censoring data with applications in medical data.

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Title: Reliability analysis of inverted exponentiated Rayleigh parameters via progressive hybrid censoring data with applications in medical data.
Authors: Nassr SG; Department of Statistics and Insurance, Faculty of Commerce, Arish University, Al-Arish, Egypt., Abo-Kasem OE; Department of Statistics, Faculty of Commerce, Zagazig University, Zagazig, Egypt., Khashab RH; Mathematics Department, Faculty of Sciences, Umm Al-Qura University, Makkah, Saudi Arabia., Alshawarbeh E; Department of Mathematics, College of Science, University of Ha'il, Ha'il, Saudi Arabia., Alshqaq SS; Department of Mathematics, College of Science, Jazan University, Jazan, Saudi Arabia., Elharoun NM; Department of Statistics and Insurance, Faculty of Commerce, Arish University, Al-Arish, Egypt.
Source: PloS one [PLoS One] 2025 Dec 30; Vol. 20 (12), pp. e0336169. Date of Electronic Publication: 2025 Dec 30 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0336169