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Adaptive regression for modeling nonlinear relationships
This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-33946-7 http://cds.cern.ch/record/2221159 |