Detection of nonlinearity, discontinuity and interactions in generalized regression models
In generalized regression models, the effect of continuous covariates is commonly assumed to be linear. This assumption, however, may be too restrictive in applications and may lead to biased effect estimates and decreased predictive ability. While a multitude of alternatives for the flexible modell...
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Published in | Statistical modelling |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
13.08.2025
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Online Access | Get full text |
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