| From start to finish: a framework for the production of small area official statistics N Tzavidis, LC Zhang, A Luna, T Schmid, N Rojas‐Perilla Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018 | 117 | 2018 |
| Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal T Schmid, F Bruckschen, N Salvati, T Zbiranski Journal of the Royal Statistical Society Series A: Statistics in Society 180 …, 2017 | 86 | 2017 |
| The R package emdi for estimating and mapping regionally disaggregated indicators AK Kreutzmann, S Pannier, N Rojas-Perilla, T Schmid, M Templ, ... Journal of Statistical Software 91, 2019 | 65 | 2019 |
| Data-driven transformations in small area estimation N Rojas-Perilla, S Pannier, T Schmid, N Tzavidis Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 62 | 2020 |
| Longitudinal Analysis of the Strengths and Difficulties Questionnaire Scores of the Millennium Cohort Study Children in England Using M-Quantile Random-Effects … N Tzavidis, N Salvati, T Schmid, E Flouri, E Midouhas Journal of the Royal Statistical Society Series A: Statistics in Society 179 …, 2016 | 51 | 2016 |
| Spatial robust small area estimation T Schmid, RT Münnich Statistical Papers 55, 653-670, 2014 | 37 | 2014 |
| Outlier robust small‐area estimation under spatial correlation T Schmid, N Tzavidis, R Münnich, R Chambers Scandinavian Journal of Statistics 43 (3), 806-826, 2016 | 32 | 2016 |
| Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected … M Groß, U Rendtel, T Schmid, S Schmon, N Tzavidis Journal of the Royal Statistical Society Series A: Statistics in Society 180 …, 2017 | 28 | 2017 |
| Flexible domain prediction using mixed effects random forests P Krennmair, T Schmid Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022 | 21 | 2022 |
| Estimating regional unemployment with mobile network data for functional urban areas in Germany S Hadam, N Würz, AK Kreutzmann, T Schmid Statistical Methods & Applications, 1-29, 2023 | 18 | 2023 |
| Modelling the distribution of health-related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression R Borgoni, P Del Bianco, N Salvati, T Schmid, N Tzavidis Statistical methods in medical research 27 (2), 549-563, 2018 | 16 | 2018 |
| Refugees in undeclared employment—a case study in Turkey F Bruckschen, T Koebe, M Ludolph, MF Marino, T Schmid Guide to Mobile Data Analytics in Refugee Scenarios: The'Data for Refugees …, 2019 | 14 | 2019 |
| Robust Small Area Estimation under Spatial Non‐stationarity C Baldermann, N Salvati, T Schmid International Statistical Review 86 (1), 136-159, 2018 | 14 | 2018 |
| Spatial robust small area estimation applied on business data T Schmid | 11 | 2012 |
| Estimating regional wealth in Germany: How different are East and West really? AK Kreutzmann, P Marek, N Salvati, T Schmid Deutsche Bundesbank Discussion Paper, 2019 | 9 | 2019 |
| Simulation tools for small area estimation: introducing the R-package saeSim S Warnholz, T Schmid Austrian Journal of Statistics 45 (1), 55-69, 2016 | 9 | 2016 |
| Intercensal updating using structure-preserving methods and satellite imagery T Koebe, A Arias-Salazar, N Rojas-Perilla, T Schmid Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 8 | 2022 |
| Switching between different non-hierachical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin M Groß, AK Kreutzmann, U Rendtel, T Schmid, N Tzavidis Journal of Official Statistics 36 (2), 297-314, 2020 | 8 | 2020 |
| emdi: estimating and mapping disaggregated Indicators AK Kreutzmann, S Pannier, N Rojas-Perilla, T Schmid, M Templ, ... R package version 1 (3), 2018 | 8 | 2018 |
| Kleinräumige Prädiktion von Bevölkerungszahlen basierend auf Mobilfunkdaten aus Deutschland S Hadam, T Schmid, J Simm Qualität bei zusammengeführten Daten: Befragungsdaten, administrative Daten …, 2020 | 7 | 2020 |
nicola salvatiAssociate Professor in Statistics, University of Pisa在 unipi.it 的电子邮件经过验证
