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https://doi.org/10.21256/zhaw-19998| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | The R package emdi for estimating and mapping regionally disaggregated indicators |
| Autor/-in: | Kreutzmann, Ann-Kristin Pannier, Sören Rojas-Perilla, Natalia Schmid, Timo Templ, Matthias Tzavidis, Nikos |
| et. al: | No |
| DOI: | 10.18637/jss.v091.i07 10.21256/zhaw-19998 |
| Erschienen in: | Journal of Statistical Software |
| Band(Heft): | 91 |
| Heft: | 7 |
| Erscheinungsdatum: | 2019 |
| Verlag / Hrsg. Institution: | Foundation for Open Access Statistics |
| ISSN: | 1548-7660 |
| Sprache: | Englisch |
| Schlagwörter: | Official statistics; Survey statistics; Parallel computing; Small area estimation; Visualization |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | The R package emdi enables the estimation of regionally disaggregated indicators using small area estimation methods and includes tools for processing, assessing, and presenting the results. The mean of the target variable, the quantiles of its distribution, the headcount ratio, the poverty gap, the Gini coefficient, the quintile share ratio, and customized indicators are estimated using direct and model-based estimation with the empirical best predictor (Molina and Rao 2010). The user is assisted by automatic estimation of datadriven transformation parameters. Parametric and semi-parametric, wild bootstrap for mean squared error estimation are implemented with the latter offering protection against possible misspecification of the error distribution. Tools for (a) customized parallel computing, (b) model diagnostic analyses, (c) creating high quality maps and (d) exporting the results to Excel and OpenDocument Spreadsheets are included. The functionality of the package is illustrated with example data sets for estimating the Gini coefficient and median income for districts in Austria. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19998 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY-NC 4.0: Namensnennung - Nicht kommerziell 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Datenanalyse und Prozessdesign (IDP) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2019_Kreutzmann-etal_R-package-emdi.pdf | 712.57 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Kreutzmann, A.-K., Pannier, S., Rojas-Perilla, N., Schmid, T., Templ, M., & Tzavidis, N. (2019). The R package emdi for estimating and mapping regionally disaggregated indicators. Journal of Statistical Software, 91(7). https://doi.org/10.18637/jss.v091.i07
Kreutzmann, A.-K. et al. (2019) ‘The R package emdi for estimating and mapping regionally disaggregated indicators’, Journal of Statistical Software, 91(7). Available at: https://doi.org/10.18637/jss.v091.i07.
A.-K. Kreutzmann, S. Pannier, N. Rojas-Perilla, T. Schmid, M. Templ, and N. Tzavidis, “The R package emdi for estimating and mapping regionally disaggregated indicators,” Journal of Statistical Software, vol. 91, no. 7, 2019, doi: 10.18637/jss.v091.i07.
KREUTZMANN, Ann-Kristin, Sören PANNIER, Natalia ROJAS-PERILLA, Timo SCHMID, Matthias TEMPL und Nikos TZAVIDIS, 2019. The R package emdi for estimating and mapping regionally disaggregated indicators. Journal of Statistical Software. 2019. Bd. 91, Nr. 7. DOI 10.18637/jss.v091.i07
Kreutzmann, Ann-Kristin, Sören Pannier, Natalia Rojas-Perilla, Timo Schmid, Matthias Templ, and Nikos Tzavidis. 2019. “The R Package Emdi for Estimating and Mapping Regionally Disaggregated Indicators.” Journal of Statistical Software 91 (7). https://doi.org/10.18637/jss.v091.i07.
Kreutzmann, Ann-Kristin, et al. “The R Package Emdi for Estimating and Mapping Regionally Disaggregated Indicators.” Journal of Statistical Software, vol. 91, no. 7, 2019, https://doi.org/10.18637/jss.v091.i07.
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