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Degradation modeling for reliability analysis with time-dependent structure based on the inverse gaussian distribution
(Universidade Federal de São Carlos, 2017-04-07)
Conventional reliability analysis techniques are focused on the occurrence of failures over
time. However, in certain situations where the occurrence of failures is tiny or almost null, the
estimation of the quantities ...
GARMA models, a new perspective using Bayesian methods and transformations
(Universidade Federal de São Carlos, 2016-12-16)
Generalized autoregressive moving average (GARMA) models are
a class of models that was developed for extending the univariate
Gaussian ARMA time series model to a flexible observation-driven
model for non-Gaussian time ...
Controle de sistemas não-Markovianos.
(Universidade Federal de São Carlos, 2017-09-13)
In this thesis, we present a concrete methodology to calculate the epsilon-optimal controls for non-Markovian stochastic systems. A pathwise analysis and the use of the discretization structure proposed by Leão and Ohash ...
Bayesian and classical inference for the generalized gamma distribution and related models
(Universidade Federal de São Carlos, 2018-02-22)
The generalized gamma (GG) distribution is an important model that has proven to be
very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, ...
Modelos COM-Poisson correlacionados
(Universidade Federal de São Carlos, 2019-04-23)
In this thesis two discrete distributions are proposed: Correlated COM-Poisson (CPC) and
Generalized partially correlated COM-Poisson (CPGPC). We have also proposed regression
models for the Generalized partially correlated ...
Mapas da transmutação : modelagem, propriedades estruturais, estimação e aplicações
(Universidade Federal de São Carlos, 2016-12-05)
Initially, we use the quadratic transmutation maps to compose a new probability
model: the transmuted log-logistic distribution. Transmutation maps are
a convenient way of constructing new distributions, in particular ...
Modelos de difusão de inovação em grafos
(Universidade Federal de São Carlos, 2019-04-12)
Areas such as politics, economics and marketing are heavily influential in terms of information diffusion. For this reason, several branches of science have studied such phenomena in order to simulate and understand them ...
Modelos de sobrevivência bivariados induzidos por fragilidade
(Universidade Federal de São Carlos, 2022-07-18)
Frailty models have been developed to quantify both heterogeneity as well as association in multivariate time-to-event data. The frailty distributions used in many studies include the gamma, inverse Gaussian (IG) or stable ...
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 ...
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...