- Ieva Axt (2020). Blockwise estimation of parameters under abrupt changes in the mean, doi:10.17877/DE290R-20941
- Jona Lilienthal (2019). Group-based regionalization in flood frequency analysis considering heterogeneity, , doi:10.17877/DE290R-20343
- Sermad Abbas (2019): Robust and non-parametric control charts for time series with a time-varying trend, http://dx.doi.org/10.17877/DE290R-20180
- Katrin Hainke (2017): Statistische Analyse von Modellen für die Krankheitsprogression, http://dx.doi.org/10.17877/DE290R-18308 (jointly supervised with Jörg Rahnführer)
- Alexander Dürre (2017): Robust change-point detection and dependence modeling, http://dx.doi.org/10.17877/DE290R-18148
- Svenja Fischer (2017): Robust estimation methods with application to flood statistics, http://dx.doi.org/10.17877/DE290R-18088
- Paul Kinsvater (2016): Semi- and non-parametric flood frequency analysis, http://dx.doi.org/10.17877/DE290R-17333
- Claudia Köllmann (2016): Unimodal spline regression and its use in various applications with single or multiple modes, http://dx.doi.org/10.17877/DE290R-17270
- Tobias Liboschik (2016): Modeling Count Time Series Following Generelized Linear Models, http://dx.doi.org/10.17877/DE290R-17191
- Max Wornowizki (2015): Distribution-free Analysis of Homogeneity, http://dx.doi.org/10.17877/DE290R-16408
- Tobias Voigt (2014): Threshold optimization and variable construction for classification in the MAGIC and FACT experiments, http://dx.doi.org/10.17877/DE290R-14114
- Anita Thieler (2014): Robuste Verfahren zur Periodendetektion in ungleichmäßig beobachteten Lichtkurven, http://dx.doi.org/10.17877/DE290R-11636
- Arsene Ntiwa (2013): Robust normality test and robust power transformation with application to state change detection in non normal processes, http://dx.doi.org/10.17877/DE290R-5476
- Oliver Morell (2012): On nonparametric methods for robust jump-preserving smoothing and trend detection, http://dx.doi.org/10.17877/DE290R-5591
- Hanan Elsaied (2012): Robust Modelling of Count Data, http://dx.doi.org/10.17877/DE290R-6953
- Daniel Vogel (2011): Elliptical graphical modelling, http://dx.doi.org/10.17877/DE290R-15802
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Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Einfahrt 21 / 24) or alternatively at the Otto-Hahn-Straße ( Einfahrten 28 / 30 / 35 )
TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.