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[1]
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Manuel J. A. Eugster.
Performance profiles based on archetypal athletes.
International Journal of Performance Analysis in Sport,
12(1):166-187, 2012.
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http ]
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[2]
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Manuel J. A. Eugster, Torsten Hothorn, and Friedrich Leisch.
Domain-based benchmark experiments: Exploratory and inferential
analysis.
Austrian Journal of Statistics, 41(1):5-26, 2012.
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.pdf ]
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[3]
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Friedrich Leisch, Manuel J. A. Eugster, and Torsten Hothorn.
Executable papers for the R community: The Rsquared platform for
reproducible research.
Procedia Computer Science, 4:618-626, 2011.
Proceedings of the International Conference on Computational Science,
ICCS 2011; Finalist at the Executable Paper Grand Challenge
(http://www.executablepapers.com/).
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DOI ]
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[4]
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Manuel J. A. Eugster and Friedrich Leisch.
Exploratory analysis of benchmark experiments - an interactive
approach.
Computational Statistics, 26(4):699-710, 2011.
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DOI |
Preprint ]
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[5]
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Manuel J. A. Eugster, Jochen Knaus, Christine Porzelius, Markus Schmidberger,
and Esmeralda Vicedo.
Hands-on tutorial for parallel computing with R.
Computational Statistics, 26(2):219-239, 2011.
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DOI ]
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[6]
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Manuel J. A. Eugster and Friedrich Leisch.
Weighted and robust archetypal analysis.
Computational Statistics and Data Analysis, 55(3):1215-1225,
2011.
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DOI |
Preprint ]
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[7]
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Manuel J. A. Eugster, Jan Gertheiss, and Sebastian Kaiser.
Having the second leg at home - advantage in the UEFA Champions
League knockout phase?
Journal of Quantitative Analysis in Sports, 7, 2011.
Press reports, e.g., by
Süddeutsche Zeitung and
Online Focus.
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DOI |
Data |
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http ]
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[8]
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Manuel J. A. Eugster and Friedrich Leisch.
From Spider-man to Hero - archetypal analysis in R.
Journal of Statistical Software, 30(8):1-23, 2009.
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Preprint |
http ]
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[9]
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Manuel J. A. Eugster and Friedrich Leisch.
Bench plot and mixed effects models: First steps toward a
comprehensive benchmark analysis toolbox.
In Paula Brito, editor, Compstat 2008-Proceedings in
Computational Statistics, pages 299-306. Physica Verlag, Heidelberg,
Germany, 2008.
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