A natural generalization of the well known generalized linear models is to allow only for some of the predictors to be modeled linearly while others are modeled nonparametrically. However, this model can face the so called ...

This paper develops a robust profile estimation method for the parametric and nonparametric components of a single-index model when the errors have a strongly unimodal density with unknown nuisance parameter. We derive ...

Análise do comportamento dos principais índices de risco no mercado de ações de São Paulo no período de julho de 1984 a junho de 1990. Estudo das condições de diversificação presentes no mercado acionário paulista neste ...

The combination of SARIMA and neural network models are a common approach for forecasting nonlinear time series. While the SARIMA methodology is used to capture the linear components in the time series, artifi cial neural ...

Objectives: This study aimed to describe correlations between glucose, insulin and adipokine levels and the homeostasis model assessment (HOMA) index with regards to the presence/absence of fat mass and obesity-associated ...

The aim of this study was to evaluate phosphorus (P) kinetics in calves submitted to a single acute infection of Cooperia punctata, using isotopic dilution and modelling techniques. Ten Holstein calves were used, with a ...