Objective Bayesian inference for Birnbaum–Saunders distributions.
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| Title: | Objective Bayesian inference for Birnbaum–Saunders distributions. |
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| Authors: | Kang, Sang Gil1 (AUTHOR), Kim, Yongku2 (AUTHOR) kim.1252@knu.ac.kr |
| Source: | Communications in Statistics: Simulation & Computation. 2026, Vol. 55 Issue 5, p1703-1722. 20p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 193490110 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Objective Bayesian inference for Birnbaum–Saunders distributions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kang%2C+Sang+Gil%22">Kang, Sang Gil</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Yongku%22">Kim, Yongku</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> kim.1252@knu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Simulation+%26+Computation%22">Communications in Statistics: Simulation & Computation</searchLink>. 2026, Vol. 55 Issue 5, p1703-1722. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193490110 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03610918.2025.2455408 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1703 Titles: – TitleFull: Objective Bayesian inference for Birnbaum–Saunders distributions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kang, Sang Gil – PersonEntity: Name: NameFull: Kim, Yongku IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03610918 Numbering: – Type: volume Value: 55 – Type: issue Value: 5 Titles: – TitleFull: Communications in Statistics: Simulation & Computation Type: main |
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