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Pseudo empirical likelihood inference for nonprobability survey samples

  • Published:2022-07-04 Issue: Volume: Page:
  • ISSN:0319-5724
  • Container-title:Canadian Journal of Statistics
  • language:en
  • Short-container-title:Can J Statistics

Author:

Chen Yilin1,Li Pengfei2ORCID,Rao J. N. K.3,Wu Changbao2ORCID

Affiliation:

1. Child Health Evaluative Sciences, The Hospital for Sick Children Toronto Ontario Canada

2. Department of Statistics and Actuarial Science University of Waterloo Waterloo Ontario Canada

3. School of Mathematics and Statistics Carleton University Ottawa Ontario Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference71 articles.

1. Estimators based on several stratified samples with applications to multiple frame surveys;Bankier M. D.;Journal of the American Statistical Association,1986

2. Power allocations: Determining sample sizes for subnational areas;Bankier M. D.;American Statistician,1988

3. Are probability surveys bound to disappear for the production of official statistics?;Beaumont J.‐F.;Survey Methodology,2020

4. Sample Surveys: Design Methods and Applications;Beaumont J.‐F.,2009

5. Empirical likelihood confidence intervals for complex sampling designs;Berger Y. G.;Journal of the Royal Statistical Society, Series B,2016

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1. Improving the reliability of a nonprobability web survey: application to measuring gender pay gap;International Journal of Social Research Methodology;2024-07-05

2. Discussion;Calcutta Statistical Association Bulletin;2023-05

3. Special issue on “Functional and object data analysis”: Guest Editor's introduction;Canadian Journal of Statistics;2022-02-25
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