Building flexible regression models: including the Birnbaum-Saunders distribution in the gamlss package

Building flexible regression models: including the Birnbaum-Saunders distribution in the gamlss package

Generalized additive models for location, scale and shape (GAMLSS) are a very flexible statistical modeling framework, being an important generalization of the well-known generalized linear models and generalized additive models. Their main advantage is that any probability distribution (that does n...

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Bibliographic Details
Main Authors: Fernanda V. Roquim, Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renato R. Lima, Rayne A. Gomes
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2021-11-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
Smoothing functions
Statistical modeling
Generalized additive models
Generalized linear models
Online Access:https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/44417

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