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Statistik: mehr als Erbsen zählen

Sie sind hier:

Dr. Paavo Sattler

Mathematische Statistik und industrielle Anwendungen


Raum 220
0231 755 - 3137
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund

Brief CV

  • 11/2021: Graduation Dr. rer. nat., Department of Statistics, TU Dortmund University, Title of PhD thesis: Inference for multivariate and high-dimensional data in heterogeneous designs.
  • Since 03/2019: Research Assistant and Doctoral Student at the Faculty of Statistics, Technical University of Dortmund.
  • 09/2016 - 02/2019: Research Assistant and Doctoral Student at the Institute of Statistics, University of Ulm.
  • 04/2014 - 08/2016: Studies of Mathematics and Management (M.Sc.) at the University of Ulm. Title of Master thesis: High-Dimensional Repeated Measures Analysis: Asymptotics and Multiple Samples.
  • 10/2010 - 03/2014: Studies of Mathematics and Managment (B.Sc.) at the University of Stuttgart. Title of Bachelor thesis: Unternehmenswertmodelle für die Bewertung von Kreditderivaten.

Research Interests

  • Inference for high-dimensional data
  • Multivariate Statistics
  • Resampling


  • Sattler, P. and Pauly, M. (2018).  Inference for high-dimensional split-plot-designs: An unified approach for small to large numbers of factor levels. Electronic Journal of Statistics 12,  2743-2805,
  • Sattler, P. (2021). A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics. Electronic Journal of Statistics 15 (1) 3611 - 3634, 2021.
  • Sattler, P., Arne C. Bathke and Pauly, M. (2022). Testing hypotheses about covariance matrices in general MANOVA designs. Journal of Statistical Planning and Inference. 219:134-146.
  • Rubarth, K.; Sattler, P.; Zimmermann, H.G.; Konietschke, F. (2022) Estimation and Testing of Wilcoxon–Mann–Whitney Effects in Factorial Clustered Data Designs. Symmetry, 14, 244.
  • A. Mondal, P. Sattler and S. Kumar (2023), Testing against ordered alternatives in a two-way model without interaction under heteroscedasticity, Journal of Multivariate Analysis, doi: