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Graphics for regressions with a binary response. (English) Zbl 0882.62060
Summary: Central dimension-reduction subspaces, which characterize the dependence of a response variable on one or more predictors, are developed and then used to guide the construction and interpretation of graphics for regression problems with a binary response variable. Graphical methods requiring neither a link function nor residuals are suggested for both development and criticism of model components implied by the central dimension-reduction subspace.

MSC:
62J99 Linear inference, regression
62-09 Graphical methods in statistics (MSC2010)
Software:
LISP-STAT
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