Ordinal regression

In statistics, ordinal regression is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant. The two most common types of ordinal regression models are ordered logit and ordered probit.

Further reading

• Hardin, James (2007). Generalized Linear Models and Extensions (2nd edition ed.). College Station: Stata Press. ISBN 978-1-59718-014-6. {{cite book}}: |edition= has extra text (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)CS1 maint: publisher location (link)