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Contribuições em modelos de regressão com erro de medida multiplicativo
(Universidade Federal de São Carlos, 2016-02-04)
In regression models in which a covariate is measured with error, it is common
to use structures that correlate the observed covariate with the true non-observed
covariate. Such structures are usually additive or ...
Metanálise para modelos de regressão
(Universidade Federal de São Carlos, 2016-10-28)
Programação linear aplicada a estatística
(Universidade Federal de São Carlos, 2017-11-27)
Determine probabilities for events where we have few information or intervals for probabilities is not so simple. For this we will develop concepts of linear programming, which allows us to solve, in a certain way, the ...
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 ...
Modeling based on a reparameterized Birnbaum-Saunders distribution for analysis of survival data
(Universidade Federal de São Carlos, 2017-01-09)
In this thesis we propose models based on a reparameterized Birnbaum-Saunder (BS) distribution
introduced by Santos-Neto et al. (2012) and Santos-Neto et al. (2014), to analyze survival data.
Initially we introduce the ...
Uma aproximação do tipo Euler-Maruyama para o processo de Cox-Ingersoll-Ross
(Universidade Federal de São Carlos, 2015-02-26)
In this master's thesis we work with Cox-Ingersoll-Ross (CIR) process. This process was originally proposed by John C. Cox, Jonathan E. Ingersoll Jr. and Stephen A. Ross in 1985. Nowadays, this process is widely used in ...
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 ...
Avaliação da proficiência em inglês acadêmico através de um teste adaptativo informatizado
(Universidade Federal de São Carlos, 2015-04-09)
This work describes the steps for converting a linear paper-and-pencil English proficiency test
for academic purposes, composed with multiple choice items that are administered following the
admissible probability ...
Comparing two populations using Bayesian Fourier series density estimation
(Universidade Federal de São Carlos, 2017-04-12)
Given two samples from two populations, one could ask how similar the populations are, that is,
how close their probability distributions are. For absolutely continuous distributions, one way
to measure the proximity of ...