Calibrated Bayes, an inferential paradigm for official statistics in the era of big data.
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| Title: | Calibrated Bayes, an inferential paradigm for official statistics in the era of big data. |
|---|---|
| Authors: | Little, Roderick J.1 rlittle@umich.edu |
| Source: | Statistical Journal of the IAOS. 2015, Vol. 31 Issue 4, p555-563. 9p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=111352775 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SJI-150944 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 555 Titles: – TitleFull: Calibrated Bayes, an inferential paradigm for official statistics in the era of big data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Little, Roderick J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 18747655 Numbering: – Type: volume Value: 31 – Type: issue Value: 4 Titles: – TitleFull: Statistical Journal of the IAOS Type: main |
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