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Department of Statistics
Research Assistant

Dr. Paavo Sattler


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Phone: +49 231 755 3137

Mathematics, Room 220
Vogelpothsweg 87
44227 Dortmund



© Paavo Sattler​/​privat
  • Multivariate Statistics
  • High-dimensional Statistics
  • Sattler, P., Pauly, M. Testing hypotheses about correlation matrices in general MANOVA designs. TEST (2023).
  • P. Sattler und M. Pauly, „Inference for high-dimensional split-plot-designs: a unified approach for small to large numbers of factor levels“, Electronic journal of statistics, Bd. 12, Nr. 2, S. 2743–2805, 2018. DOI: 10.1214/18-ejs1465.
  • P. Sattler, M. Pauly, und P. Doebler, „Inference for multivariate and high-dimensional data in heterogeneous designs“, Universitätsbibliothek Dortmund, Dortmund, 2021. DOI: 10.17877/de290r-22692.
  • P. Sattler, „A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics“, Electronic journal of statistics, Bd. 15, Nr. 1, S. 3611–3634, 2021. DOI: 10.1214/21-ejs1865.
  • P. Sattler, A. C. Bathke, und M. Pauly, „Testing hypotheses about covariance matrices in general MANOVA designs“, Journal of statistical planning and inference, Bd. 219, S. 134–146, 2022. DOI: 10.1016/j.jspi.2021.12.001.
  • K. Rubarth, P. Sattler, H. G. Zimmermann, und F. Konietschke, „Estimation and testing of Wilcoxon–Mann–Whitney Effects in factorial clustered data designs“, Symmetry, Bd. 14, Nr. 2, Art. Nr. 244, 2022. DOI: 10.3390/sym14020244.
  • Mondal, A., Sattler, P. and Kumar, S. Testing for trend in two-way crossed effects model under heteroscedasticity, TEST, 2023. DOI: 10.1007/s11749-023-00879-6.
  • A. Mondal, P. Sattler and S. Kumar, Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity, Journal of Multivariate Analysis, 2023. DOI: 10.1016/j.jmva.2023.105177
  • Case Studies I (Winter 23/24)
  • Reading Course Inference (Winter 23/24)
  • Reading Course Inference (Summer 2023)
  • Six-Sigma-Methode (Summer 2023)
  • Reading Course Inference (Winter 22/23)    
  • Reading Course Inference (Summer 2022)
  • Six-Sigma-Methode (Summer 2022)
  • Reading Course Inference (Winter 21/22)
  • Reading Course Inference (Summer 2021)
  • Six-Sigma-Methode (Summer 2021)

Research Experience

  • Since Feb. 2019: Research Assistant at the Department of Statistics
  • Sep. 2016 – Feb. 2019: Research Assistant at Ulm University


  • Dr. rer. nat (Statistics): TU Dortmund University, November 2021. Dissertation: Inference for multivariate and high-dimensional data in heterogeneous designs.
  • M.Sc. (Financial Mathematics): Ulm University, 2016. Master's thesis: High-Dimensional Repeated Measures Analysis: Asymptotics and Multiple Samples
  • B.Sc. (Mathematics): University of Stuttgart, 2014. Bachelor's thesis: Unternehmenswertmodelle für die Bewertung von Kreditderivaten