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Now showing items 11-20 of 24
Modelos série de potência zero-modificado para séries temporais com dados de contagem
(Universidade Federal de São Carlos, 2019-05-10)
The goal of this work is to propose the Zero-Modified models with Power Series distribution (ZMPS) for time series with counting data. The ZMPS model have a huge portfolio of count data distributions wherein, with an ...
Neural networks as an optimization tool for regression
(Universidade Federal de São Carlos, 2019-09-02)
Neural networks are a tool to solve prediction problems that have gained much prominence recently. In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function. ...
Modelo geométrico de ordem k correlacionado
(Universidade Federal de São Carlos, 2019-08-29)
In this work we propose the correlated geometric distribution of order k, k≥1, with parameters π and ρ; π ∈(0,1), max{−1,−1−π π } ≤ρ < 1, as an extension of the generalized geometric distribution proposed by Philippou e ...
Modelos de mistura para avaliação de produtos e serviços
(Universidade Federal de São Carlos, 2019-12-16)
The product (or services) evaluation is a necessity in many steps of the development and release of such producs (services). The product evolution and the market share definition are two steps that evolves some kind of ...
Métodos de estimação em modelos de efeitos mistos não lineares de caudas pesadas
(Universidade Federal de São Carlos, 2019-12-05)
Parameter estimation in nonlinear mixed-effects models is often challenging. In this thesis,
a comparison of estimation methods for these models is proposed under a frequentist
approach. In the first study, a comparison ...
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH
(Universidade Federal de São Carlos, 2019-04-26)
One of the most important informations in financial market is variability of an asset. Several
models have been proposed in literature with a view of to evaluate this phenomenon. Among
them we have the GARCH models. This ...
Modelos não lineares assimétricos com efeitos mistos
(Universidade Federal de São Carlos, 2019-08-02)
This work aims to develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions, in order to avoid the sensitivity in the ...
Classe de modelos de fragilidade com efeito do acúmulo de reparos em múltiplos sistemas reparáveis
(Universidade Federal de São Carlos, 2019-12-13)
In repairable systems, a fundamental aspect to be considered is predict the reliability of the systems being studied. However, the standard methods used to analyze reparable system data ignore the cumulative effect of ...
Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process
(Universidade Federal de São Carlos, 2019-08-30)
In this thesis, the main objective is to study certain aspects of modeling failure time data of repairable systems under a competing risks framework. We consider two different models and propose more efficient Bayesian ...
Modelo de dispersão Hiper-Poisson para variáveis discretas observáveis e não observáveis
(Universidade Federal de São Carlos, 2019-12-06)
Poisson distribution is widely used to model count data, however it has the disadvantage the
assumption that the data must have equal mean and variance, which is not always true, since
in many situations the phenomenon ...