SPE.1 - Small area estimation using integrated and big data sources
| Alternative spatial data sources for small area estimation in developing countries | |
| Nikos Tzavidis, Angela Luna, Kristine Nilsen, Jessica Steele |
| Small area poverty indicators adjusted using local price indexes | |
| Stefano Marchetti, Gaia Bertarelli, Caterina Giusti, Francesco Schirripa Spagnolo, Monica Pratesi |
SPE.2 - Optimal sampling design
| Survey design for the estimation of the economic performance of the Italian fisheries sector | |
| Paolo Accadia, Federica Piersimoni, Evelina Carmen Sabatella, Dario Pinello |
SPE.4 - Small area estimation methods: innovations and applied issues
| Data-driven Transformations for the Estimation of Small Area Means | |
| Nora Ulrike Würz, Timo Schmid, Nikos Tzavidis |
SPE.9 - Record linkage and statistical matching techniques
| A Bayesian approach for multiple regression with linked and deduplicated data | |
| Brunero Liseo, Rebecca C. Steorts, Andrea Tancredi |
SPE.11 - Quality of multi-source statistics
| Estimating population census tables and their accuracy using Multiple Imputation of Latent Classes (MILC) with multi-source data | |
| Laura Boeschoten, Sander Scholtus, Ton de Waal, Jacco Daalmans, Jeroen Vermunt |
CON.1 - Small area estimation
| Variable and Transformation Selection for Mixed Regression Models with Application to Small Area Estimation | |
| Natalia Rojas-Perilla, MarÃa José LombardÃa, Esther López VizcaÃno, Cristina Rueda Sabater |
| Using the Entropic Distance for Large Area Definition in Small Area Estimation Methods | |
| Fabrizio Solari, Livio Fenga |
| On synthetic median estimator in small area estimation | |
| Tomasz Stachurski |
CON.4 - Advances in survey data analysis
| On influence of clustering population on accuracy of vector mean estimator | |
| Grzegorz Antoni Sitek, Janusz Leszek Wywiał |