Simulation of Data for SimulationStudies
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30073-8_12
Reference28 articles.
1. Alfons, A., S. Kraft, M. Templ, and P. Filzmoser. 2011. “Simulation of Close-to-Reality Population Data for Household Surveys with Application to EU-SILC.” Statistical Methods & Applications 20 (3): 383–407. http://dx.doi.org/10.1007/s10260-011-0163-2.
2. Alfons, A., M. Templ, and P. Filzmoser. 2010. “An Object-Oriented Framework for Statistical Simulation: The R Package simFrame.” Journal of Statistical Software 37 (3): 1–36. http://www.jstatsoft.org/v37/i03/.
3. Allison, P. 2000. “Multiple Imputation for Missing Data: A Cautionary Tale.” Sociological Methods & Research 28: 301–9. https://doi.org/10.1177/0049124100028003003.
4. Breiman, L. 2001. “Random Forest.” Machine Learning 45: 5–32.
5. Burgard, J-P., J-P. Kolb, H. Merkle, and R. Münnich. 2017. “Synthetic Data for Open and Reproducible Methodological Research in Social Sciences and Official Statistics.” AStA Wirtschafts- Und Sozialstatistisches Archiv 11 (3): 233–44. https://doi.org/10.1007/s11943-017-0214-8.
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