A generalized regression model for a binary response
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 [phi]-divergence. These results generalize to multinomial and other discrete data.
Year of publication: |
2010
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Authors: | Kateri, Maria ; Agresti, Alan |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 80.2010, 2, p. 89-95
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Publisher: |
Elsevier |
Saved in:
Online Resource
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