Now showing items 1-6 of 6
Aspectos práticos da estimação do modelo de mistura via processo de Dirichlet
(Universidade Federal de São Carlos, 2013-04-03)
We review the Dirichlet process mixture model and investigate its performance as a classification method. The first aspect considered is its sensibility to the choice of location parameter of the base distribution. The ...
Análise estatística do modelo de Nelson e Siegel
(Universidade Federal de São Carlos, 2013-03-21)
The present paper studies the yield curve, an important tool for financial decisions, due to its fundamental role in the implementation and evaluation of monetary policies by the central banks. It also shows market ...
Estimadores não paramétricos para dados com censura
(Universidade Federal de São Carlos, 2013-04-19)
In this paper we study the reliability of systems with connected components in series and parallel. For systems in series, the device fails when the first component fails. Although in the parallel systems this happens when ...
Modelos de sobrevivência com base nas distribuições geométrica e exponencial
(Universidade Federal de São Carlos, 2013-02-01)
In this dissertation we propose four models to model lifetime data. The fist family of distribution is called Exponentiated Complementary Exponential Geometric distribution (ECEG) and it is obtained by exponentiation of ...
Modelo de regressão de valor extremo para dados agrupados
(Universidade Federal de São Carlos, 2013-03-11)
One of the distributions used to model extremal events is the type I extremevalue distribution (Gumbel distribution). The usual extreme-value regression model requires independent observations. In this work, using generalized ...
Verificação da performance de modelos APARCH assimétricos aplicados a dados financeiros
(Universidade Federal de São Carlos, 2013-04-01)
The volatility of financial assets changes over time, indicating the specification of regime change in volatility models. Furthermore, the presence of asymmetry in the returns of the financial market has been recognized ...