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Dipl.-Math. Christoph Kustosz

Statistik in den Ingenieurwissenschaften


Room 746
+49 231 755 - 3114
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund

Consultation by appointment




Wahrscheinlichkeitsrechung und Statistik für Ingenieure

Übung Robuste Statistik



 Submitted / Working Paper:

  1. Kustosz, Ch. P., Leucht, A. und Müller, Ch. H. (2014). Tests based on simplicial depth for AR(1) models with explosion. SFB 823 Discussion Paper, TU Dortmund. [pdf]
  2. Kustosz, Ch. P., Müller, Ch. H. and Wendler, M. (2014). Simplified simplicial depth for regression and autoregressive growth processes. SFB 823 Discussion Paper, TU Dortmund. [pdf]



  1. Kustosz, Ch. P. und Müller, Ch. H. (2014). Analysis of crack growth with robust, distributionfree estimators and tests for non-stationary autoregressive processes. Statisical Papers 55, 125-140. Preprint [pdf]
  2. Georg M. Fröhlich, Pascal Meier, Kustosz, Ch. P et al. (2014). Long-term survival in patients undergoing precutaneous interventions with or without intracoronary pressure wire guidance or intracoronary ultrasonographic imaging: A large cohort study. JAMA Internal Medicine. 174 (8), p 1360 - 1366.


  • Statistical modelling of damage processes under cyclic loadings
  • Robust methods for time series models