Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ana J. Righetto"'
Autor:
Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Andréa C. Konrath, Carlos A. B. Pereira
Publikováno v:
Stats, Vol 4, Iss 4, Pp 916-930 (2021)
A method for statistical analysis of multimodal and/or highly distorted data is presented. The new methodology combines different clustering methods with the GAMLSS (generalized additive models for location, scale, and shape) framework, and is theref
Externí odkaz:
https://doaj.org/article/e18053fe1685454ea055a50ed91a0cc8
Autor:
Fernanda V. Roquim, Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renato R. Lima, Rayne A. Gomes
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 42, Iss 2 (2021)
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
Externí odkaz:
https://doaj.org/article/e46893a8c70d4fe79bf3546d95777a97
Autor:
Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renan J. Carvalho, Lucas A. Vieira, Carlos A. B. Pereira
Publikováno v:
Entropy, Vol 23, Iss 4, p 469 (2021)
This paper presents a discussion regarding regression models, especially those belonging to the location class. Our main motivation is that, with simple distributions having simple interpretations, in some cases, one gets better results than the ones
Externí odkaz:
https://doaj.org/article/4c287ee33e274fb5a1c349107d59a122
Publikováno v:
Cadernos de Saúde Pública, Vol 34, Iss 1 (2018)
Renal insufficiency is a serious medical and public health problem worldwide. Recently, although many surveys have been developed to identify factors related to the lifetime of patients with renal insufficiency, controversial results from several stu
Externí odkaz:
https://doaj.org/article/8c235cb7505743b494f9e835aa9b10d2