Ordinal regression (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Ordinal regression" in English language version.

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doi.org

  • Winship, Christopher; Mare, Robert D. (1984). "Regression Models with Ordinal Variables" (PDF). American Sociological Review. 49 (4): 512–525. doi:10.2307/2095465. JSTOR 2095465.
  • Gutiérrez, P. A.; Pérez-Ortiz, M.; Sánchez-Monedero, J.; Fernández-Navarro, F.; Hervás-Martínez, C. (January 2016). "Ordinal Regression Methods: Survey and Experimental Study". IEEE Transactions on Knowledge and Data Engineering. 28 (1): 127–146. doi:10.1109/TKDE.2015.2457911. hdl:10396/14494. ISSN 1041-4347.
  • Chu, Wei; Keerthi, S. Sathiya (2007). "Support vector ordinal regression". Neural Computation. 19 (3): 792–815. CiteSeerX 10.1.1.297.3637. doi:10.1162/neco.2007.19.3.792. PMID 17298234.

github.com

handle.net

hdl.handle.net

  • Gutiérrez, P. A.; Pérez-Ortiz, M.; Sánchez-Monedero, J.; Fernández-Navarro, F.; Hervás-Martínez, C. (January 2016). "Ordinal Regression Methods: Survey and Experimental Study". IEEE Transactions on Knowledge and Data Engineering. 28 (1): 127–146. doi:10.1109/TKDE.2015.2457911. hdl:10396/14494. ISSN 1041-4347.

harvard.edu

scholar.harvard.edu

  • Winship, Christopher; Mare, Robert D. (1984). "Regression Models with Ordinal Variables" (PDF). American Sociological Review. 49 (4): 512–525. doi:10.2307/2095465. JSTOR 2095465.

jstor.org

  • Winship, Christopher; Mare, Robert D. (1984). "Regression Models with Ordinal Variables" (PDF). American Sociological Review. 49 (4): 512–525. doi:10.2307/2095465. JSTOR 2095465.

microsoft.com

research.microsoft.com

nih.gov

pubmed.ncbi.nlm.nih.gov

ox.ac.uk

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psu.edu

citeseerx.ist.psu.edu

uchicago.edu

ttic.uchicago.edu

ufl.edu

stat.ufl.edu

worldcat.org

search.worldcat.org

  • Gutiérrez, P. A.; Pérez-Ortiz, M.; Sánchez-Monedero, J.; Fernández-Navarro, F.; Hervás-Martínez, C. (January 2016). "Ordinal Regression Methods: Survey and Experimental Study". IEEE Transactions on Knowledge and Data Engineering. 28 (1): 127–146. doi:10.1109/TKDE.2015.2457911. hdl:10396/14494. ISSN 1041-4347.