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Journal of the American Statistical Association Volume 119, 2024 - Issue 546
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Theory and Methods

Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach

Jae Kwang Kima Department of Statistics, Iowa State University, Ames, IAORCID Iconhttps://orcid.org/0000-0002-0246-6029View further author information
ORCID Icon,
J. N. K. Raob School of Mathematics and Statistics, Carleton University, Ottawa, ON, CanadaView further author information
&
Zhonglei Wangc Wang Yanan Institute for Studies in Economics (WISE) and School of Economics, Xiamen University, Xiamen, Fujian, P.R. ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6712-0750View further author information
ORCID Icon
Pages 1229-1239 | Received 01 Mar 2019, Accepted 31 Jan 2023, Published online: 03 Apr 2023

Related Research Data

Small area estimation under informative probability sampling of areas and within the selected areas
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The Role of Sampling Weights when Modeling Survey Data
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Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
Source: Taylor & Francis

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