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Generalized Additive Model

In statistics, the generalized additive model (or GAM) is a statistical model developed by Trevor Hastie and Rob Tibshirani blending properties of multiple regression (a special case of general linear model) with additive models.

Uses

Applications

References

  • Hastie, T. J. and Tibshirani, R. J. (1990). Generalized Additive Models. Chapman & Hall/CRC. ISBN 9780412343902.
  • Wood, S. N. (2006). Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC. ISBN 9781584884743.

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