An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling

DOI10.48550/arXiv.2105.08379arXiv2105.08379OpenAlexW4311903767MaRDI QIDQ92043

Raphaël Jauslin, Raphaël Jauslin, Yves Tillé

Publication date: 18 May 2021

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.08379

zbMATH Keywords

distancedata integrationauxiliary informationunequal probability samplingbalanced sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

StratifiedSampling

Cites Work

• Enhanced cube implementation for highly stratified population
• Statistical data integration in survey sampling: a review
• Fast balanced sampling for highly stratified population
• Generalized Raking Procedures in Survey Sampling
• Calibration Estimators in Survey Sampling
• An Invitation to Statistics in Wasserstein Space
• Statistical Matching
• Regularized Optimal Transport of Covariates and Outcomes in Data Recoding
• Design‐based Estimators Calibrated on Estimated Totals from Multiple Surveys
• Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

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