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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 15 .

Zeitschriftenartikel

Strobl, Carolin; Kopf, Julia; Zeileis, Achim (2013): Rasch trees: A New Method for Detecting Differential Item Functioning in the Rasch Model. In: Psychometrika: S. 1-28

Strobl, Carolin; Wickelmaier, Florian; Zeileis, Achim (2011): Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. In: Journal of Educational and Behavioral Statistics, Vol. 36, Nr. 2: S. 135-153

Strobl, Carolin; Hothorn, Torsten; Zeileis, Achim (2009): Party on! A new, conditional variable importance measure available in the party package. In: The R Journal, Vol. 1, Nr. 2: S. 14-17

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas; Zeileis, Achim: Conditional variable importance for random forests. In: BMC Bioinformatics 2008, 9:307 [PDF, 396kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim; Hothorn, Torsten: Bias in random forest variable importance measures: Illustrations, sources and a solution. In: BMC Bioinformatics 2007, 8:25 [PDF, 368kB]

Paper

Abou El-Komboz, Basil; Zeileis, Achim; Strobl, Carolin (16. Januar 2014): Detecting Differential Item and Step Functioning with Rating Scale and Partial Credit Trees. Department of Statistics: Technical Reports, Nr. 152 [PDF, 548kB]

Kopf, Julia; Zeileis, Achim; Strobl, Carolin (24. November 2013): Anchor selection strategies for DIF analysis: Review, assessment, and new approaches. Department of Statistics: Technical Reports, Nr. 150 [PDF, 497kB]

Kopf, Julia; Zeileis, Achim; Strobl, Carolin (13. März 2013): Anchor methods for DIF detection: A comparison of the iterative forward, backward, constant and all-other anchor class. Department of Statistics: Technical Reports, Nr. 141 [PDF, 549kB]

Strobl, Carolin; Kopf, Julia; Zeileis, Achim (2010): A new method for detecting differential item functioning in the Rasch model. Department of Statistics: Technical Reports, Nr. 92 [PDF, 407kB]

Strobl, Carolin; Wickelmaier, Florian; Zeileis, Achim (April 2009): Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning. Department of Statistics: Technical Reports, Nr. 54 [PDF, 536kB]

Strobl, Carolin; Hothorn, Torsten; Zeileis, Achim (11. Februar 2009): Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package. Department of Statistics: Technical Reports, Nr. 50 [PDF, 274kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas; Zeileis, Achim (28. März 2008): Conditional Variable Importance for Random Forests. Department of Statistics: Technical Reports, Nr. 23 [PDF, 394kB]

Strobl, Carolin; Zeileis, Achim (30. Januar 2008): Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance. Department of Statistics: Technical Reports, Nr. 17 [PDF, 323kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim; Hothorn, Torsten (2006): Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution. Sonderforschungsbereich 386, Discussion Paper 490 [PDF, 574kB]

Buchbeitrag

Strobl, Carolin; Kopf, Julia; Zeileis, Achim (2010): Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben. In: Trepte, Sabine; Verbeet, Markus (Hrsg.): Allgemeinbildung in Deutschland - Erkenntnisse aus dem SPIEGEL-Studentenpisa. Wiesbaden: VS-Verlag. S. 255-272

Diese Liste wurde am Tue Jan 24 05:17:59 2017 CET erstellt.