Enhancing artificial radionuclides monitoring: a Bayesian statistical approach combined with the multi time-interval analysis method.
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| Title: | Enhancing artificial radionuclides monitoring: a Bayesian statistical approach combined with the multi time-interval analysis method. |
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| Authors: | Li, Xiang1,2 (AUTHOR), Yan, Yongjun1 (AUTHOR), Gong, Xueyu1 (AUTHOR) gongxueyu@126.com |
| Source: | Journal of Radioanalytical & Nuclear Chemistry. Apr2024, Vol. 333 Issue 4, p2121-2130. 10p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 176584625 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176584625 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10967-024-09394-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 2121 Titles: – TitleFull: Enhancing artificial radionuclides monitoring: a Bayesian statistical approach combined with the multi time-interval analysis method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Xiang – PersonEntity: Name: NameFull: Yan, Yongjun – PersonEntity: Name: NameFull: Gong, Xueyu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 02365731 Numbering: – Type: volume Value: 333 – Type: issue Value: 4 Titles: – TitleFull: Journal of Radioanalytical & Nuclear Chemistry Type: main |
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