Adaptive regression for modeling nonlinear relationships [electronic resource] / George J. Knafl, Kai Ding.
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...
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| Online Access: |
Full Text (via Springer) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Cham] :
Springer,
[2016]
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| Series: | Statistics for biology and health.
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| Subjects: |
Internet
Full Text (via Springer)Online
| Call Number: |
QA278.2
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| QA278.2 | Available |