Regression for ordinal variables without underlying continuous variables

Vicenç Torra; Josep Domingo‐Ferrer; Josep M. Mateo‐Sanz; Michael K. Ng

doi:10.1016/j.ins.2005.07.007

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Regression for ordinal variables without underlying continuous variables

Vicenç Torra Josep Domingo‐Ferrer Josep M. Mateo‐Sanz Michael K. Ng

Year: 2005 Journal: Information Sciences Vol: 176 (4)Pages: 465-474 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2005.07.007

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Keywords:

Categorical variable Ordinal regression Ordinal data Ordinal optimization Continuous variable Variable (mathematics) Latent variable Computer science Econometrics Regression analysis Ordinal Scale Data mining Variables Mathematics Regression Statistics Machine learning Artificial intelligence

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical and Computational Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

Regression for ordinal variables without underlying continuous variables

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