Regression with Ordered Predictors via Ordinal Smoothing Splines
Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables in regression models, which is theoretically a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-07-01
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| Series: | Frontiers in Applied Mathematics and Statistics |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fams.2017.00015/full |