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Fundamentos e aplicações dos critérios de Informação: akaike e bayesianoFundamentals and applications criteria for Information: akaike and bayesian

Emiliano, Paulo César (UNIVERSIDADE FEDERAL DE LAVRASDEX - Departamento de Ciências ExatasUFLABRASIL, 2014)

Information criteria: how do they behave in different models?

Emiliano, Paulo C.; Vivanco, Mário J. F.; Menezes, Fortunato S. de (Elsevier, 2019)

A note on model uncertainty in linear regression

Swiss Fed Inst Technol; Universidade Federal de São Carlos (UFSCar); Universidade Estadual Paulista (Unesp) (Blackwell Publ Ltd, 2003-01-01)

We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking ...

Growth pattern of the sea urchin, Loxechinus albus (Molina, 1782) in southern Chile: Evaluation of growth models

Flores, Luis; Ernst, Billy; Parma, Ana María (Springer, 2010-05)

The growth pattern of Loxechinus albus in southern Chile was studied using size-at-age data obtained by reading growth bands on the genital plates. The scatter plots of sizes-at-age for samples collected in three different ...

Data classification with binary response through the boosting algorithm and logistic regression

Menezes, Fortunato S. de; Liska, Gilberto R.; Cirillo, Marcelo A.; Vivanco, Mário J. F. (Elsevier, 2018)

Contribuição para seleção de modelos no espaço de estado utilizando critério de informaçãoContribution to model selection in the state space using information criterion

López Vargas, Jean Pierre Brik, 1988- ([s.n.], 2016)

Aplicación de los algoritmos genéticos para estimar los parámetros en un modelo de regresión de Cox.Application of genetics algorithms for estimating the parameters of a Cox regression model.

Rivas O., Douglas E.; Maldonado, José Luciano; Borges P., Rafael E.; Colmenares L., Gerardo A. (SABER ULA, 2008)

Aplicación de los algoritmos genéticos para estimar los parámetros en un modelo de regresión de Cox.Application of genetics algorithms for estimating the parameters of a Cox regression model.

Rivas O., Douglas E.; Maldonado, José Luciano; Borges P., Rafael E.; Colmenares L., Gerardo A. (SABER ULA, 2008)

A note on model uncertainty in linear regression

Candolo, C.; Davison, A. C.; Demetrio, CGB (Blackwell Publ Ltd, 2015)

A note on model uncertainty in linear regression

Candolo, C.; Davison, A. C.; Demetrio, CGB (Blackwell Publ Ltd, 2015)

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Fundamentos e aplicações dos critérios de Informação: akaike e bayesianoFundamentals and applications criteria for Information: akaike and bayesian

Information criteria: how do they behave in different models?

A note on model uncertainty in linear regression

Growth pattern of the sea urchin, Loxechinus albus (Molina, 1782) in southern Chile: Evaluation of growth models

Data classification with binary response through the boosting algorithm and logistic regression

Contribuição para seleção de modelos no espaço de estado utilizando critério de informaçãoContribution to model selection in the state space using information criterion

Aplicación de los algoritmos genéticos para estimar los parámetros en un modelo de regresión de Cox.Application of genetics algorithms for estimating the parameters of a Cox regression model.

Aplicación de los algoritmos genéticos para estimar los parámetros en un modelo de regresión de Cox.Application of genetics algorithms for estimating the parameters of a Cox regression model.

A note on model uncertainty in linear regression

A note on model uncertainty in linear regression