Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach.
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| Title: | Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach. |
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| Authors: | Kim, Jae Kwang1 (AUTHOR), Rao, J. N. K.2 (AUTHOR), Wang, Zhonglei3 (AUTHOR) wangzl@xmu.edu.cn |
| Source: | Journal of the American Statistical Association. Jun2024, Vol. 119 Issue 546, p1229-1239. 11p. |
| 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: 178134040 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=msf&AN=178134040 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01621459.2023.2183130 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1229 Titles: – TitleFull: Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Jae Kwang – PersonEntity: Name: NameFull: Rao, J. N. K. – PersonEntity: Name: NameFull: Wang, Zhonglei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01621459 Numbering: – Type: volume Value: 119 – Type: issue Value: 546 Titles: – TitleFull: Journal of the American Statistical Association Type: main |
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