SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation
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SIS 2023 International Meeting
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ITACOSM 2019 - Survey and Data Science
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Presentations and Authors
Presentations and Authors
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SPE.1 - Small area estimation using integrated and big data sources
SPE.2 - Optimal sampling design
SPE.3 - Machine learning for socio-economic surveys
SPE.4 - Small area estimation methods: innovations and applied issues
SPE.5 - Analysis of Official Statistics for decision making
SPE.6 - Environmental surveys: theoretical and practical issues
SPE.7 - Inference from informative and non-probability survey samples
SPE.8 - Spatial sampling and applications
SPE.9 - Record linkage and statistical matching techniques
SPE.10 - Sample surveys for sensitive data
SPE.11 - Quality of multi-source statistics
SPE.12 - Population size estimation via integration of different sources
CON.1 - Small area estimation
CON.2 - Issues in complex surveys
CON.3 - Methods for the analysis of survey data
CON.4 - Advances in survey data analysis
CON.5 - Non sampling error
CON.6 - Real survey data analysis issues
SPE.10 - Sample surveys for sensitive data
The Privacy Protection-Aspect in Surveys for Sensitive Data
SLIDES
Andreas Quatember