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
Publications
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, doi.org/10.1214/18-EJS1465
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. doi.org/10.1214/21-EJS1865
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. doi.org/10.1016/j.jspi.2021.12.001
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. doi.org/10.3390/sym14020244
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: doi.org/10.1016/j.jmva.2023.105177.
