Bayesian estimation of log-linear Poisson models: analytic and MCMC approaches with applications to reliability and medical count data.
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| Title: | Bayesian estimation of log-linear Poisson models: analytic and MCMC approaches with applications to reliability and medical count data. |
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| Authors: | Akhtar, Md Tanwir1 (AUTHOR) m.akhtar@seu.edu.sa |
| Source: | Frontiers in Applied Mathematics & Statistics. 2026, p1-26. 26p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 195592423 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fams.2026.1821648 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Titles: – TitleFull: Bayesian estimation of log-linear Poisson models: analytic and MCMC approaches with applications to reliability and medical count data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akhtar, Md Tanwir IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 07 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22974687 Titles: – TitleFull: Frontiers in Applied Mathematics & Statistics Type: main |
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