An extension of generalized linear models

Eduardo Gutiérrez González, Olga Vladimirovna Panteleeva, Ana Laura Reyes Olvera

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Resumen

In this paper, a general model is proposed to extend generalized linear models to non-monotonic link functions. In order to determine the best model, different link function families are analysed, and through AIC, the best model is chosen. Moreover, using asymptotic properties of maximum likelihood estimates are calculated with confidence intervals and hypothesis tests for each of the parameters. Lastly, one example of regression extension is proposed for the Bernoulli distribution applied to in vitro germination of Leucocoryne coquimbensis seeds.

Idioma originalInglés
Páginas (desde-hasta)448-457
Número de páginas10
PublicaciónEuropean Journal of Scientific Research
Volumen61
N.º3
EstadoPublicada - oct. 2011

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