Foreword to the special issue on “Survey Methods for Statistical Data Integration and New Data Sources”
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DOI: 10.1007/s40300-023-00248-1
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References listed on IDEAS
- Roberta Varriale & Marco Alfo’, 2023. "Multi-source statistics on employment status in Italy, a machine learning approach," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 37-63, April.
- Ian E. Fellows & Mark S. Handcock, 2023. "Modeling of networked populations when data is sampled or missing," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 21-35, April.
- Chien-Min Huang & F. Jay Breidt, 2023. "A dual-frame approach for estimation with respondent-driven samples," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 65-81, April.
- Andreas Quatember, 2023. "Efficient item count techniques with one or two lists," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 5-19, April.
- Fabrizio Solari & Antonella Bernardini & Nicoletta Cibella, 2023. "Statistical framework for fully register based population counts," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 109-129, April.
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