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.
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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  Data: Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Statistical+Association%22">Journal of the American Statistical Association</searchLink>. Jun2024, Vol. 119 Issue 546, p1229-1239. 11p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/01621459.2023.2183130
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1229
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      – TitleFull: Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach.
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            NameFull: Kim, Jae Kwang
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            NameFull: Rao, J. N. K.
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            NameFull: Wang, Zhonglei
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            – D: 01
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              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 546
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