Objective bayesian analysis for multiple repairable systems.
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| Title: | Objective bayesian analysis for multiple repairable systems. |
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| Authors: | D'Andrea AME; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil., Tomazella VLD; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil., Aljohani HM; Department of Mathematics & Statistics, College of Science, Taif University, Taif, Saudi Arabia., Ramos PL; Facultad de Matemáticas, Pontificia Universidad Católica de Chile, Macul, Santiago, Chile., Almeida MP; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil., Louzada F; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil., Verssani BAW; Department of Exact Sciences, University of São Paulo, Piracicaba, Brazil., Gazon AB; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil., Afify AZ; Department of Statistics, Mathematics and Insurance, Benha University, Benha, Egypt. |
| Source: | PloS one [PLoS One] 2021 Nov 23; Vol. 16 (11), pp. e0258581. Date of Electronic Publication: 2021 Nov 23 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| 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 |
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| DOI: | 10.1371/journal.pone.0258581 |
