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Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras
(Universidade Federal de São Carlos, 2020-04-27)
The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...
Modelos de regressão para dados de contagem k-modificados
(Universidade Federal de São Carlos, 2020-01-21)
In this work the regression model to k-Modified family distributions is proposed. It is understood as modification, the inclusion of a parameter in the probability mass function of the traditional discrete distributions, ...
Distribuições discretas zero-modificadas para modelar dados de contagem zeros faltantes
(Universidade Federal de São Carlos, 2020-01-24)
The analysis of count data takes an important place in applied statistics, since many real problems are expressed in terms of counts. Frequently, count data sets have discrepancies in the frequency of the zero observation, ...
Modelos de riscos competitivos no estudo de evasão discente
(Universidade Federal de São Carlos, 2020-02-11)
Dropout is a problem faced by public and private universities. Therefore, the motivation of
this work is to investigate the characteristics of students enrolled in a regular undergraduate
course and verify which one is ...
O Modelo de Regressão Potência-Normal Logística, Cauchy, Normal e Gumbel para resposta no intervalo unitário
(Universidade Federal de São Carlos, 2020-07-17)
In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1) . The new model is the composition of the power-normal distribution and the quantile of another family of ...
Modelo de mistura de regressão: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2020-04-14)
In the current dissertation, we study the mixture regression models and present two Bayesian
methodologies for their estimation. The first one considers the number of components is known
and we propose the use of two ...
Algoritmos de estimação para modelos Markovianos não-homogêneos
(Universidade Federal de São Carlos, 2020-02-27)
Hidden Markov models are a statistical paradigm which can be used to mode stochastic processeswhere the observable values are directly dependent on a sequence of hidden random variables.In the context of the hidden Markov ...
Modelos de sobrevivência bivariados baseados na cópula PVF
(Universidade Federal de São Carlos, 2020-03-13)
An alternative developed to study associations among multivariate survival times is the use of
models based on copula functions.
In this work, we use the survival model derived from the PVF copula, based on the Power
Variance ...
Percolação Acessível
(Universidade Federal de São Carlos, 2020-02-17)
We consider the accessibility percolation model on the n-ary tree height the _nite
h. The model is de_ned by associating a continuous random variable X_v for each vertex
v in the tree. The main issue to consider and ...
Vector representation of texts applied to prediction models
(Universidade Federal de São Carlos, 2020-03-09)
Natural Language Processing has gone through substantial changes over time. It was only recently that statistical approaches started receiving attention. The Word2Vec model is one of these. It is a shallow neural network ...