Multiple conformity tests to assess deviations from the Newcomb-Benford Law (NBL): A replication of Koch and Okamura (2020).
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| Title: | Multiple conformity tests to assess deviations from the Newcomb-Benford Law (NBL): A replication of Koch and Okamura (2020). |
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| Authors: | Figueiredo, Dalson1, Silva, Lucas2, lucas.silva@academico.uncisal.edu.br |
| Source: | Model Assisted Statistics & Applications; 2024, Vol. 19 Issue 1, p117-122, 6p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176366500 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multiple conformity tests to assess deviations from the Newcomb-Benford Law (NBL): A replication of Koch and Okamura (2020). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Figueiredo%2C+Dalson%22">Figueiredo, Dalson</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Silva%2C+Lucas%22">Silva, Lucas</searchLink><relatesTo>2</relatesTo>, <i>lucas.silva@academico.uncisal.edu.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Model+Assisted+Statistics+%26+Applications%22">Model Assisted Statistics & Applications</searchLink>; 2024, Vol. 19 Issue 1, p117-122, 6p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176366500 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/MAS-231459 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 117 Titles: – TitleFull: Multiple conformity tests to assess deviations from the Newcomb-Benford Law (NBL): A replication of Koch and Okamura (2020). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Figueiredo, Dalson – PersonEntity: Name: NameFull: Silva, Lucas IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15741699 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Model Assisted Statistics & Applications Type: main |
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