Efficient multiply robust imputation in the presence of influential units in surveys
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Publication:6632388
DOI10.1002/cjs.11802MaRDI QIDQ6632388
Sixia Chen, David Haziza, Victoire Michal
Publication date: 4 November 2024
Published in: The Canadian Journal of Statistics (Search for Journal in Brave)
Cites Work
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- A survey of bootstrap methods in finite population sampling
- Oracle, multiple robust and multipurpose calibration in a missing response problem
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Influence diagnostic in survey sampling: estimating the conditional bias
- Model-assisted survey estimation with modern prediction techniques
- A further study of the multiply robust estimator in missing data analysis
- Robust Inference in Two-phase Sampling Designs with Application to Unit Nonresponse
- Sampling Statistics
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- Outlier Robust Finite Population Estimation
- Calibration Estimators in Survey Sampling
- Inference and missing data
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Miscellanea. Influence diagnostic in survey sampling: conditional bias
- Multiply Robust Estimation in Regression Analysis With Missing Data
- Calibrated Imputation in Surveys Under a Quasi-Model-Assisted Approach
- OUP accepted manuscript
- Estimation with missing data: beyond double robustness
- A unified approach to robust estimation in finite population sampling
- Doubly robust inference with missing data in survey sampling
- Imputation using response probability
- A Generalization of Sampling Without Replacement From a Finite Universe
- Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review
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