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2010
In this chapter, the standard logistic model is extended to handle outcome variables that have more than two ordered categories. When the categories of the outcome variable have a natural order, ordinal logistic regression may be appropriate.
David G. Kleinbaum, Mitchel Klein
openaire +1 more source
In this chapter, the standard logistic model is extended to handle outcome variables that have more than two ordered categories. When the categories of the outcome variable have a natural order, ordinal logistic regression may be appropriate.
David G. Kleinbaum, Mitchel Klein
openaire +1 more source
Relative Margin Induced Support Vector Ordinal Regression
Expert Systems With Applications, 2023Weidu Ye, Fa Zhu, Shuo Chen
exaly
Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction
IEEE Transactions on Affective Computing, 2023Sadari Jayawardena +2 more
exaly
Non-Parallel Hyperplanes Ordinal Regression Machine
Knowledge-Based Systems, 2021Zhilin Li, Zhixia Yang
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Deep and Interpretable Regression Models for Ordinal Outcomes
Pattern Recognition, 2022Torsten Hothorn, Beate Sick, Lucas Kook
exaly
Regression with an Ordinal Dependent Variable Regression with an Ordinal Dependent Variable
2009John G. Orme, Terri Combs-Orme
openaire +1 more source