Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach-Reference-Cited by-同舟云学术

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

Published:2023-04-03 Issue: Volume: Page:1-11
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Kim Jae Kwang¹^ORCID,Rao J. N. K.²,Wang Zhonglei³^ORCID

Affiliation:

1. Department of Statistics, Iowa State University, Ames, IA

2. School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada

3. Wang Yanan Institute for Studies in Economics (WISE) and School of Economics, Xiamen University, Xiamen, Fujian, P.R. China

Funder

National Natural Science Foundation of China

National Science Foundation

NSF

Natural Sciences and Engineering Research Council of Canada

NSFC

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2183130

Reference44 articles.

1. A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population

2. A new resampling method for sampling designs without replacement: the doubled half bootstrap

3. On the Generalized Bootstrap for Sample Surveys with Special Attention to Poisson Sampling

4. Rate of convergence to normal distribution for the Horvitz-Thompson estimator

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