Modelos Lineares Generalizados Simatricos Heteroscedasticos
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1. Modelos lineares generalizados simÃtricos heterocedÃsticos
The heteroscedastic symmetrical generalized linear models class is describe for a response that belongs to a symmetrical class of distributions, a linear predictor relate to a location parameter and a linear predictor associate to a dispersion parameter, both link functions. These models are natural extensions of symmetrical generalized linear models propose
Publicado em: 2009