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Book Synopsis
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.

Generalized Additive Models for Location Scale and Shape

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    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Hardback by Mikis D. Stasinopoulos

    15 in stock


      View other formats and editions of Generalized Additive Models for Location Scale and Shape by Mikis D. Stasinopoulos

      Publisher: Cambridge University Press
      Publication Date: 2/29/2024
      ISBN13: 9781009410069, 978-1009410069
      ISBN10: 1009410067
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis
      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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