Veröffentlichungen "Christmann, Andreas"

Buch / Monografie

Steinwart, Ingo ; Christmann, Andreas:
Support Vector Machines.
New York : Springer , 2008 . - 601 S. - (Information Science and Statistics )
ISBN 978-0-387-77242-4

DOI: https://doi.org/10.1007/978-0-387-77242-4

Christmann, Andreas ; Weihs, Claus:
Data Mining und Statistik in Hochschule und Wirtschaft : Proceedings der 6. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KSFE).
Aachen : Shaker , 2003 . - 396 S.
ISBN 978-3-8322-1244-5

Artikel in einer Zeitschrift

Köhler, Hannes ; Christmann, Andreas:
Total Stability of SVMs and Localized SVMs.
In: Journal of Machine Learning Research. Bd. 23 (2022) Heft 100 . - S. 1-41.
ISSN 1533-7928

Christmann, Andreas ; Xiang, Dao-Hong ; Zhou, Ding-Xuan:
Total stability of kernel methods.
In: Neurocomputing. Bd. 289 (2018) . - S. 101-118.
ISSN 0925-2312
DOI: https://doi.org/10.1016/j.neucom.2018.02.009

Dumpert, Florian ; Christmann, Andreas:
Universal consistency and robustness of localized support vector machines.
In: Neurocomputing. Bd. 315 (2018) . - S. 96-106.
ISSN 0925-2312
DOI: https://doi.org/10.1016/j.neucom.2018.06.061

Christmann, Andreas ; Zhou, Ding-Xuan:
Learning rates for the risk of kernel-based quantile regression estimators in additive models.
In: Analysis and Applications. Bd. 14 (2016) Heft 3 . - S. 449-477.
ISSN 0219-5305
DOI: https://doi.org/10.1142/S0219530515500050

Christmann, Andreas ; Dumpert, Florian ; Xiang, Dao-Hong:
On extension theorems and their connection to universal consistency in machine learning.
In: Analysis and Applications. Bd. 14 (2016) Heft 6 . - S. 795-808.
ISSN 0219-5305
DOI: https://doi.org/10.1142/S0219530516400029

Christmann, Andreas ; Zhou, Ding-Xuan:
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels.
In: Journal of Complexity. Bd. 37 (2016) . - S. 1-33.
ISSN 0885-064X
DOI: https://doi.org/10.1016/j.jco.2016.07.001

Hable, Robert ; Christmann, Andreas:
Estimation of scale functions to model heteroscedasticity by regularised kernel-based quantile methods.
In: Journal of Nonparametric Statistics. Bd. 26 (2014) Heft 2 . - S. 219-239.
ISSN 1029-0311
DOI: https://doi.org/10.1080/10485252.2013.875547

Christmann, Andreas ; Hable, Robert:
Consistency of support vector machines using additive kernels for additive models.
In: Computational Statistics & Data Analysis. Bd. 56 (2012) Heft 4 . - S. 854-873.
ISSN 0167-9473
DOI: https://doi.org/10.1016/j.csda.2011.04.006

Steinwart, Ingo ; Christmann, Andreas:
Estimating conditional quantiles with the help of the pinball loss.
In: Bernoulli. Bd. 17 (2011) Heft 1 . - S. 211-225.
ISSN 1350-7265
DOI: https://doi.org/10.3150/10-BEJ267

Hable, Robert ; Christmann, Andreas:
On Qualitative Robustness of Support Vector Machines.
In: Journal of Multivariate Analysis. Bd. 102 (2011) Heft 6 . - S. 993-1007.
ISSN 0047-259x
DOI: https://doi.org/10.1016/j.jmva.2011.01.009

Debruyne, Michiel ; Christmann, Andreas ; Hubert, Mia ; Suykens, John:
Robustness of Reweighted Kernel Based Regression.
In: Journal of Multivariate Analysis. Bd. 101 (2010) Heft 2 . - S. 447-463.
ISSN 0047-259x
DOI: https://doi.org/10.1016/j.jmva.2009.09.007

Christmann, Andreas ; Shen, Xiaotong:
Editorial : On the interface of statistics and machine learning.
In: Statistics and Its Interface. Bd. 2 (2009) Heft 3 . - S. 255-256.
ISSN 1938-7997

Christmann, Andreas ; van Messem, Arnout ; Steinwart, Ingo:
On consistency and robustness properties of support vector machines for heavy-tailed distributions.
In: Statistics and Its Interface. Bd. 2 (2009) Heft 3 . - S. 311-327.
ISSN 1938-7997
DOI: https://doi.org/10.4310/SII.2009.v2.n3.a5

Christmann, Andreas ; van Messem, Arnout:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
In: Journal of Machine Learning Research. Bd. 9 (2008) Heft 6 . - S. 915-936.
ISSN 1533-7928

Christmann, Andreas ; Steinwart, Ingo:
Consistency of kernel based quantile regression.
In: Applied Stochastic Models in Business and Industry. Bd. 24 (2008) Heft 2 . - S. 171-183.
ISSN 1526-4025
DOI: https://doi.org/10.1002/asmb.700

Christmann, Andreas ; Steinwart, Ingo:
Consistency and robustness of kernel-based regression in convex risk minimization.
In: Bernoulli. Bd. 13 (2007) Heft 3 . - S. 799-819.
ISSN 1350-7265
DOI: https://doi.org/10.3150/07-BEJ5102

Vandewalle, B. ; Beirlant, J. ; Christmann, Andreas ; Hubert, M.:
A Robust Estimator for the Tail Index of Pareto-type Distributions.
In: Computational Statistics & Data Analysis. Bd. 51 (2007) Heft 12 . - S. 6252-6258.
ISSN 0167-9473
DOI: https://doi.org/10.1016/j.csda.2007.01.003

Christmann, Andreas ; Steinwart, Ingo ; Hubert, Mia:
Robust Learning from Bites for Data Mining.
In: Computational Statistics & Data Analysis. Bd. 52 (2007) Heft 1 . - S. 347-361.
ISSN 0167-9473
DOI: https://doi.org/10.1016/j.csda.2006.12.009

Engelhardt, Martin ; Bast, P. ; Jeblink, N. ; Lauer, W. ; Popovic, A. ; Eufinger, H. ; Scholz, M. ; Christmann, Andreas ; Harders, A. ; Radermacher, K. ; Schmieder, K.:
Analysis of surgical management of calvarian tumours for the design of a robot-assisted trepanation system.
In: Minimally Invasive Neurosurgery. Bd. 49 (2006) Heft 2 . - S. 98-103.
ISSN 1439-2291
DOI: https://doi.org/10.1055/s-2006-932173

Schmieder, K. ; Moller, F. ; Engelhardt, Martin ; Scholz, M. ; Schregel, W. ; Christmann, Andreas ; Harders, A.:
Dynamic cerebral autoregulation in patients with ruptured and unruptured aneurysms after induction of general anesthesia.
In: Zentralblatt für Neurochirurgie. Bd. 67 (2006) Heft 2 . - S. 81-87.
ISSN 1868-4904
DOI: https://doi.org/10.1055/s-2006-933374

Christmann, Andreas ; van Aelst, Stefan:
Robust estimation of Cronbach's alpha.
In: Journal of Multivariate Analysis. Bd. 97 (2006) Heft 7 . - S. 1660-1674.
ISSN 0047-259x
DOI: https://doi.org/10.1016/j.jmva.2005.05.012

Christmann, Andreas:
On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data.
In: Acta Mathematicae Applicatae Sinica. Bd. 21 (2005) Heft 2 . - S. 193-208.
ISSN 1618-3932
DOI: https://doi.org/10.1007/s10255-005-0229-8

Christmann, Andreas:
An approach to model complex high-dimensional insurance data.
In: Allgemeines Statistisches Archiv. Bd. 88 (2004) Heft 4 . - S. 375-396.
ISSN 1863-8171
DOI: https://doi.org/10.1007/s101820400178

Christmann, Andreas ; Steinwart, Ingo:
On robust properties of convex risk minimization methods for pattern recognition.
In: Journal of Machine Learning Research. Bd. 5 (2004) . - S. 1007-1034.
ISSN 1533-7928

Rousseeuw, Peter J. ; Christmann, Andreas:
Robustness against separation and outliers in logistic regression.
In: Computational Statistics & Data Analysis. Bd. 43 (2003) Heft 3 . - S. 315-332.
ISSN 0167-9473
DOI: https://doi.org/10.1016/S0167-9473(02)00304-3

Jäger, Horst J. ; Mathias, Klaus ; Hauth, Elke ; Drescher, Robert ; Gissler, Hans M. ; Hennigs, Svenja P. ; Christmann, Andreas:
Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in the carotid artery.
In: American Journal of Neuroradiology. Bd. 23 (2002) . - S. 200-207.
ISSN 1936-959X

Christmann, Andreas ; Fischer, Paul ; Joachims, Thorsten:
Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications.
In: Computational Statistics. Bd. 17 (2002) Heft 2 . - S. 273-287.
ISSN 0943-4062
DOI: https://doi.org/10.1007/s001800200106

Hennigs, Svenja P. ; Garmer, Marietta ; Jäger, Horst J. ; Classen, Reinhard ; Jacobs, Andreas ; Gissler, Hans M. ; Christmann, Andreas ; Mathias, Klaus:
Digital chest radiography with a large-area flat panel silicon X-ray detector : clinical comparison with conventional radiography.
In: European Radiology. Bd. 11 (2001) Heft 9 . - S. 1688-1696.
ISSN 1432-1084
DOI: https://doi.org/10.1007/s003300000795

Christmann, Andreas ; Rousseeuw, Peter J.:
Measuring overlap in binary regression.
In: Computational Statistics & Data Analysis. Bd. 37 (2001) Heft 1 . - S. 65-75.
ISSN 0167-9473
DOI: https://doi.org/10.1016/S0167-9473(00)00063-3

Garmer, Marietta ; Hennigs, Svenja P. ; Jäger, Horst J. ; Schrick, Felicitas ; van de Loo, Thomas ; Jacobs, Andreas ; Hanusch, Axel ; Christmann, Andreas ; Mathias, Klaus:
Digital Radiography Versus Conventional Radiography in Chest Imaging : Diagnostic Performance of a Large-Area Silicon Flat-Panel Detector in a Clinical CT-Controlled Study.
In: American Journal of Roentgenology. Bd. 174 (2000) Heft 1 . - S. 75-80.
ISSN 1546-3141
DOI: https://doi.org/10.2214/ajr.174.1.1740075

Christmann, Andreas:
On group sequential tests based on robust location and scale estimators in the two-sample problem.
In: Computational Statistics. Bd. 14 (1999) Heft 3 . - S. 339-353.
ISSN 0943-4062
DOI: https://doi.org/10.1007/s001800050020

Berkenberg, Mechthild ; Christmann, Andreas ; Schröder, Kurt:
Stichprobenrevision am Freihandbestand der Universitätsbibliothek Dortmund.
In: Bibliotheksdienst. Bd. 33 (1999) Heft 10 . - S. 1657-1660.
ISSN 0006-1972
DOI: https://doi.org/10.1515/bd.1999.33.10.1657

Jäger, Horst J. ; Kolb, Stefan ; Mair, Thomas ; Geller, Marius ; Christmann, Andreas ; Kinne, Rolf K. ; Mathias, Klaus:
In Vitro Model for the Evaluation of Inferior Vena Cava Filters : Effect of Experimental Parameters on Thrombus-Capturing Efficacy of the Vena Tech-LGM Filter.
In: Journal of Vascular and Interventional Radiology. Bd. 9 (1998) Heft 2 . - S. 295-304.
ISSN 1535-7732
DOI: https://doi.org/10.1016/S1051-0443(98)70272-6

Christmann, Andreas:
Positive breakdown point estimation in categorical regression models.
In: Bulletin of the International Statistical Institute ISI. Bd. 58 (1998) . - S. 197-198.
ISSN 0373-0441

Jäger, Horst J. ; Mair, Thomas ; Geller, Marius ; Kinne, Rolf K. ; Christmann, Andreas ; Mathias, Klaus:
A Physiologic In Vitro Model of the Inferior Vena Cava with a Computer-Controlled Flow System for Testing of Inferior Vena Cava Filters.
In: Investigative Radiology. Bd. 32 (1997) Heft 9 . - S. 511-522.
ISSN 0020-9996

Christmann, Andreas:
Least median of weighted squares in logistic regression with large strata.
In: Biometrika. Bd. 81 (1994) Heft 2 . - S. 413-417.
ISSN 1464-3510
DOI: https://doi.org/10.1093/biomet/81.2.413

Christmann, Andreas ; Gather, U. ; Scholz, G.:
Some properties of the length of the shortest half.
In: Statistica Neerlandica. Bd. 48 (1994) Heft 3 . - S. 209-213.
ISSN 1467-9574
DOI: https://doi.org/10.1111/j.1467-9574.1994.tb01444.x

Christmann, Andreas ; Gather, U.:
Significance levels of linear rank tests using Edgeworth Expansions.
In: Statistica Neerlandica. Bd. 45 (1991) Heft 4 . - S. 379-389.
ISSN 1467-9574
DOI: https://doi.org/10.1111/j.1467-9574.1991.tb01317.x

Aufsatz in einem Buch

Gensler, Patrick ; Christmann, Andreas:
On the Robustness of Kernel-Based Pairwise Learning.
In: Steland, Ansgar ; Tsui, Kwok-Leung (Hrsg.): Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology. - Cham : Springer , 2022 . - S. 111-153
ISBN 978-3-031-07154-6
DOI: https://doi.org/10.1007/978-3-031-07155-3_5

Christmann, Andreas ; Hable, Robert:
On the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
In: Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong. - The Hague, The Netherlands : International Statistical Institute , 2013 . - S. 3779-3784
ISBN 978-90-73592-34-6

Christmann, Andreas ; Hable, Robert:
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
In: Schölkopf, Bernhard ; Luo, Zhiyuan ; Vovk, Vladimir (Hrsg.): Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik. - Berlin ; New York : Springer , 2013 . - S. 231-244
ISBN 9783642411359
DOI: https://doi.org/10.1007/978-3-642-41136-6_20

Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods.
In: Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong, China. - The Hague, The Netherlands : International Statistical Institute , 2013 . - S. 1802-1807
ISBN 978-90-73592-34-6

Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods.
In: Becker, Claudia ; Fried, Roland ; Kuhnt, Sonja (Hrsg.): Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather. - Heidelberg ; New York : Springer , 2013 . - S. 263-278
ISBN 978-3-642-35494-6
DOI: https://doi.org/10.1007/978-3-642-35494-6_16

Hable, Robert ; Christmann, Andreas:
Robustness Versus Consistency in Ill-Posed Classification and Regression Problems.
In: Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio (Hrsg.): Classification and Data Mining. - Berlin : Springer , 2013 . - S. 27-35
ISBN 978-3-642-28894-4
DOI: https://doi.org/10.1007/978-3-642-28894-4_4

Christmann, Andreas ; Steinwart, Ingo:
Universal Kernels on Non-Standard Input Spaces.
In: Lafferty, John D. ; Williams, C. K. I. ; Shawe-Taylor, J. ; Zemel, R. S. ; Culotta, A. (Hrsg.): Advances in Neural Information Processing Systems 23. Volume 1. - Red Hook, NY : Curran , 2010 . - S. 406-414

Steinwart, Ingo ; Christmann, Andreas:
Fast learning from non-i.i.d. observations.
In: Bengio, Yoshua ; Schuurmans, D. ; Lafferty, J. D. ; Williams, C. K. I. ; Culotta, A. (Hrsg.): Advances in Neural Information Processing Systems 22. Volume 3. - Red Hook, NY : Curran , 2009 . - S. 1768-1776

Steinwart, Ingo ; Christmann, Andreas:
Sparsity of SVMs that use the epsilon-insensitive loss.
In: Koller, Daphne ; Schuurmans, D. ; Bengio, Y. ; Bottou, L. (Hrsg.): Advances in Neural Information Processing Systems 21. - Red Hook, NY : Curran , 2009 . - S. 1569-1576

Steinwart, Ingo ; Christmann, Andreas:
How SVMs can estimate quantiles and the median.
In: Platt, John C. ; Koller, Daphne ; Singer, Y. ; Roweis, S. (Hrsg.): Advances in Neural Information Processing Systems 20. Volume 1. - Cambridge, MA : MIT Press , 2008 . - S. 305-312
ISBN 978-1-60560-352-0

Christmann, Andreas:
On Properties of Support Vector Machines for Pattern Recognition in Finite Samples.
In: Hubert, Mia ; Pison, Greet ; Struyf, Anja ; Van Aelst, Stefan (Hrsg.): Theory and Applications of Recent Robust Methods. - Basel : Birkhäuser Basel , 2004 . - S. 49-58 . - (Statistics for Industry and Technology )
ISBN 978-3-0348-9636-8
DOI: https://doi.org/10.1007/978-3-0348-7958-3_5

Christmann, Andreas:
Generalisierte lineare Modelle mit SAS 8e.
In: Becker, Christine ; Redlich, Heinz (Hrsg.): Data Mining und Statistik in Hochschule und Wirtschaft : Proceedings der 7. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KSFE); [20. Februar - 21. Februar 2003, Universität Potsdam]. - Aachen : Shaker , 2003 . - S. 22-36
ISBN 978-3-8322-2111-9

Christmann, Andreas:
Classification based on the support vector machine and on regression depth.
In: Dodge, Yadolah (Hrsg.): Statistical Data Analysis Based on the L_1-Norm and Related Methods. - Basel : Birkhäuser Basel , 2002 . - S. 341-352 . - (Statistics for Industry and Technology )
ISBN 978-3-0348-9472-2
DOI: https://doi.org/10.1007/978-3-0348-8201-9_28

Christmann, Andreas ; Fischer, Paul ; Joachims, Thorsten:
Classification based on the support vector machine, regression depth, and discriminant analysis.
In: Härdle, Wolfgang ; Rönz, Bernd (Hrsg.): COMPSTAT : Proceedings in Computational Statistics. 15th symposium held in Berlin. - Heidelberg : Physica , 2002 . - S. 225-230
ISBN 978-3-642-57489-4
DOI: https://doi.org/10.1007/978-3-642-57489-4_30

Christmann, Andreas:
Robust Estimation in Generalized Linear Models.
In: Kunert, Joachim ; Trenkler, Götz (Hrsg.): Mathematical Statistics with Applications in Biometry : Festschrift in honour of Prof. Dr. Siegfried Schach. - Köln : Eul , 2001 . - S. 215-230
ISBN 978-3-89012-864-1

Christmann, Andreas:
SAS-Kurse am HRZ der Universität Dortmund : Ein Erfahrungsbericht.
In: Ortseifen, Carina (Hrsg.): Proceedings der 3. Konferenz für SAS-Anwender in Forschung und Entwicklung (KSFE). - Heidelberg : Ruprecht-Karls-Universität , 1999 . - S. 67-68
ISBN 3-00-004505-8

Christmann, Andreas:
Statistische Analysen mit SAS und LogXact.
In: Ortseifen, Carina (Hrsg.): Proceedings der 3. Konferenz für SAS-Anwender in Forschung und Entwicklung (KSFE); 25./26. Februar 1999, Ruprecht-Karls-Universität Heidelberg. - Heidelberg : Ruprecht-Karls-Universität , 1999 . - S. 69-71

Christmann, Andreas:
On estimators with positive breakdown point in regression models for grouped data.
In: Data Science, Classification, and Related Methods : VI conference of the International Federation of Classification Societies. - Roma : Istituto Nazionale di Statistica , 1998 . - S. 66-69

Christmann, Andreas ; Schwichtenberg, Günter:
KIT200x : Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende.
In: Grundel, Herbert (Hrsg.): Struktur und Leistungsspektrum innovativer Rechenzentren : Vorträge der 12. GI-Fachtagung über Rechenzentren am 19. und 20. Juni 1997 in Stuttgart-Möhringen. - Heidelberg : Hüthig , 1997 . - S. 1-26
ISBN 3-7785-2630-8

Christmann, Andreas:
High breakdown point estimators for regression models with large strata.
In: Pratt, Albert ; Ripoll, Enric (Hrsg.): COMPSTAT : proceedings in computational statistics ; 12th symposium held in Barcelona, Spain, 1996. - Barcelona : UPC , 1996 . - S. 31-32

Christmann, Andreas:
High breakdown point estimators in logistic regression.
In: Rieder, Helmut (Hrsg.): Robust Statistics, Data Analysis, and Computer Intensive Methods : In Honor of Peter Huber's 60th Birthday. - New York : Springer , 1996 . - S. 79-89 . - (Lecture Notes in Statistics ; 109 )
ISBN 978-1-4612-2380-1

Christmann, Andreas:
Ausreißeridentifikaton im logistischen Regressionsmodell.
In: Pöppl, Siegfried ; Lipinski, H.-G. ; Mansky, T. (Hrsg.): Medizinische Informatik : Ein integrierender Teil arztunterstützender Technologien: Lübeck, September 1993. - München : MMV Medizin Verlag GmbH , 1994 . - S. 478-481 . - (Medizinische Informatik, Biometrie und Epidemiologie ; 77 )
ISBN 3-8208-1232-6

Veranstaltungsbeitrag

Christmann, Andreas:
On the bootstrap approach for support vector machines and related kernel based methods.
2013
Veranstaltung: 59th International Statistical Institute World Statistics Congress (ISI) , 25-30.08.2013 , Hong Kong, China.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Christmann, Andreas ; Steinwart, Ingo:
On Consistency and Robustness of Support Vector Machines.
2009
Veranstaltung: 57th Session of the International Statistical Institute (ISI-2009) , 16.-22.08.2009 , Durban, South Africa.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Preprint, Postprint

Guo, Zheng-Chu ; Christmann, Andreas ; Shi, Lei:
Optimality of Robust Online Learning.
Fudan University Shanghai, China , 2023 . - 26 S.
DOI: https://doi.org/10.48550/arXiv.2304.10060

Köhler, Hannes ; Christmann, Andreas:
Total Stability of SVMs and Localized SVMs.
Bayreuth , 2021 . - 30 S.

Gensler, Patrick ; Christmann, Andreas:
On the robustness of kernel-based pairwise learning.
Bayreuth , 2020 . - 34 S.

Christmann, Andreas ; Hable, Robert:
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods.
Cornell University Library, arXiv : Cornell University Library , 2013 . - 13 S.

Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
On the stability of Bootstrap estimators.
Cornell University Library, arXiv : Cornell University Library , 2011 . - 12 S.

Projektbericht, Forschungsbericht, Gutachten

Christmann, Andreas:
Bias of the Minimum Hellinger distance estimator in Poisson models.
Dortmund : Universität, 1993 . - 5 [3] Bl. - (Forschungsbericht / Universität Dortmund, Fachbereich Statistik ; 93/10 )

Christmann, Andreas:
A Note on M-Estimators Proposed by Künsch, Stefanski and Carroll.
Dortmund : University of Dortmund, Department of Statistics, 1992 . - (Forschungsbericht / Universität Dortmund, Fachbereich Statistik ; 92/5 )