A generalized regression model for a binary response
| dc.contributor.author | Kateri, M. | en |
| dc.contributor.author | Agresti, A. | en |
| dc.date.accessioned | 2015-11-24T17:24:09Z | |
| dc.date.available | 2015-11-24T17:24:09Z | |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/12850 | |
| dc.rights | Default Licence | - |
| dc.title | A generalized regression model for a binary response | en |
| heal.abstract | Logistic regression is the closest model, given its sufficient statistics, to the model of constant success probability in terms of Kullback Leibler information. A generalized binary model has this property for the more general -divergence. These results generalize to multinomial and other discrete data. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1016/j.spl.2009.09.016 | - |
| heal.journalName | Statistics and Probability Letters | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2010 | - |
| heal.publisher | Elsevier | en |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικών | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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