A generalized regression model for a binary response

作者:Kateri Maria*; Agresti Alan
来源:Statistics & Probability Letters, 2010, 80(2): 89-95.
DOI:10.1016/j.spl.2009.09.016

摘要

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.

  • 出版日期2010-1-15