Classification trees for multivariate ordinal response: an application to Student Evaluation Teaching
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DOI: 10.1007/s11135-016-0430-2
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References listed on IDEAS
- Raffaella Piccarreta, 2008. "Classification trees for ordinal variables," Computational Statistics, Springer, vol. 23(3), pages 407-427, July.
- Agostino Tarsitano, 2009. "Comparing The Effectiveness Of Rank Correlation Statistics," Working Papers 200906, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
- Shih, Yu-Shan, 2001. "Selecting the best splits for classification trees with categorical variables," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 341-345, October.
- Siciliano, Roberta & Mola, Francesco, 2000. "Multivariate data analysis and modeling through classification and regression trees," Computational Statistics & Data Analysis, Elsevier, vol. 32(3-4), pages 285-301, January.
- Mariano Ruiz Espejo, 2015. "Statistical Methods for Ranking Data," International Statistical Review, International Statistical Institute, vol. 83(1), pages 172-173, April.
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Cited by:
- Gerhard Tutz, 2022. "Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles," Journal of Classification, Springer;The Classification Society, vol. 39(2), pages 241-263, July.
- Antonio D’Ambrosio & Carmela Iorio & Michele Staiano & Roberta Siciliano, 2019. "Median constrained bucket order rank aggregation," Computational Statistics, Springer, vol. 34(2), pages 787-802, June.
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Keywords
Decision tree; Ordinal response; Student Evaluation of Teaching; Distances;All these keywords.
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