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Generalized Additive Models for Location, Scale and Shape

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"This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields"--

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  • Sprog:
  • Ukendt
  • ISBN:
  • 9781009410069
  • Indbinding:
  • Hardback
  • Sideantal:
  • 306
  • Udgivet:
  • 29. februar 2024
  • 8-11 hverdage.
  • 27. november 2024
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"This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields"--

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