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Generalized additive models and inflated type I error rates of smoother significance tests.

Robin L. YoungJanice WeinbergVerónica VieiraAl OzonoffThomas F. Webster
Published in: Comput. Stat. Data Anal. (2011)
Keyphrases
  • significance tests
  • type i error
  • generalized additive models
  • type ii
  • statistical power
  • hypothesis tests
  • decision making
  • additive models
  • machine learning
  • bayesian networks
  • sample size