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Department of Statistics
Wissenschaftliche Mitarbeiterin

Dr. Melanie Horn

Sprechzeiten

nach Vereinbarung

 

Lehre

  • Übung zur Vorlesung "Wahrscheinlichkeitsrechnung und Statistik in den Ingenieurwissenschaften" (WS 16/17, WS 17/18, WS 18/19) 
  • Tutorium zur Vorlesung "Statistik 3" (WS 16/17, WS 17/18)
  • Betreuung des 1. Projekts der Veranstaltung "Fallstudien 2" (SS 17)
  • Übung zur Vorlesung "Robuste Statistik" (SS 17)
  • Vorlesung und Übung zur Veranstaltung "Fortgeschrittene Programmierung in R" (WS 17/18, WS 18/19)
  • Tutorium zur Vorlesung "Statistik 2" (SS 18)
  • Vorlesung und Übung zur Veranstaltung "Advanced R" (SS 20)
  • Tutorium zur Vorlesung "Schätzen und Testen" (WS 20/21)

 

Publikationen

Dissertation
  • Melanie Horn: Sign Depth for Parameter Tests in Multiple Regression. 2021, Technische Universität Dortmund

 

Veröffentlichte Paper
  • Horn, D., Dagge, M., Sun, X., Bischl, B. (2017). First Investigations on Noisy Model-Based Multi-objective Optimization. In: Evolutionary Multi-Criterion Optimization. Springer International Publishing. S. 298 - 313.
  • Kansteiner, M., Biermann, D., Dagge, M., Ferreira, M., Tillmann, W., Müller, C.H. (2017). Statistical evaluation of the wear behaviour of diamond impregnated tools used for the core drilling of concrete. In: Euro PM 2017 Congress & Exhibition: Euro PM2017 proceedings : 1-5 October 2017, Milano Congressi (MiCo), Milan, Italy
  • Kansteiner, M., Biermann, D., Malevich, N., Horn, M., Müller, C.H. Ferreira, M. Tillmann, W. (2018). Analysis of the wear behaviour of diamond impregnated tools used for the core drilling of concrete with statistical lifetime prediction. In: EURO PM 2018: International Powder Metallurgy Congress & Exhibition, Proceedings, 14.10.-18.10. 2018, Bilbao, Spain
  • Abbas, S., Fried, R., Heinrich, J., Horn, M., Jakubzik, M., Kohlenbach, J., Maurer, R., Michels, A., Müller, C. H. (2019). Detection of Anomalous Sequences in Crack Data of a Bridge Monitoring. In: Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement. Springer
    International Publishing, S. 251–269.
  • Goebel, R., Schreiber, M., Koleva, V., Horn, M., Górak, A., Skiborowski, M. (2019). On the reliability of lab-scale experiments for the determination of membrane specific flux measurements in organic
    solvent nanofiltration. In: Chemical Engineering Research and Design, S. 271 - 279.
  • Horn, M., Müller, C.H. (2020) Tests based on sign depth for multiple regression. SFB 823 Discussion Paper

 

Eingereichte Paper

  • Leckey, K., Malcherczyk, D., Horn, M., Müller, C.H. (2021+) Simple powerful robust tests based on sign depth.
  • Horn, M., Müller, C.H. (2021+) Outlier Robust Sign Depth Tests in Multiple Regression.

 

Software