SPE.1 - Small area estimation using integrated and big data sources
| Measuring well-being and poverty at local level using remote sensing data | |
| Ralf Muennich, Christopher Caratiola, Hanna Dieckmann, Max Gerhards, Thomas Udelhoven |
SPE.6 - Environmental surveys: theoretical and practical issues
| Estimating co-occurences index in finite populations | |
| Tonio Di Battista, Stefano Antonio Gattone, Francesca Fortuna |
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 |
| An empirical evaluation of latent class models for multisource statistics | |
| Loredana Di Consiglio, Marco Di Zio, Danila Filipponi |
SPE.12 - Population size estimation via integration of different sources
| Use of latent class models for estimating population size in multiple record systems in presence of missing data | |
| Davide Di Cecco |
CON.3 - Methods for the analysis of survey data
| Evaluation of the impact of mixed mode design on the quality of the estimates of the Aspects of Daily Life social survey | |
| Claudia De Vitiis, Alessio Guandalini, Francesca Inglese, Marco Dionisio Terribili |
| The R-Package ‘surveysd’ | |
| Johannes Gussenbauer, Alexander Kowarik, Gregor de Cillia |
CON.6 - Real survey data analysis issues
| Multilevel time series modeling of mobility trends in the Netherlands for small domains | |
| Sumonkanti Das, Harm Jan Boonstra, Jan van den Brakel |