Browsing Estatística - Es by Title
Now showing items 36-55 of 58
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Máquinas de vetores suporte com aplicação em classificação de crédito
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/03/2023)The credit granting represents one of the products with the highest profitability within a financial institution. However, to ensure profit, institutions must know to whom they lend their capital. In this scenario, a ... -
Métodos de agrupamento longitudinal: uma aplicação em dados de ondas ultrassônicas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/11/2021)The preservation of buildings faces several challenges, such as the wear caused by weather, atmospheric conditions, soil settlement or even lack of proper maintenance. In some cases, such as historical heritage, it is not ... -
Métodos de aprendizado ativo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/04/2022)In the field of supervised learning, the good performance of a prediction model is generally tied to the presence of a large labelled training set. However, there are many situations where labelling an instance is expensive ... -
Métodos de colapsagem de variantes raras para mapeamento de QTLs
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)The mapping of regions in the genome associated with quantitative traits (QTLs) through SNP-type genetic markers has been one of the central problems in Genetics and Molecular Biology and several methods of detection and ... -
Métodos de detecção de fraude em cartões de crédito: um estudo comparativo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/04/2022)The arrival of the pandemic radically changed the consumption habits of goods and services, starting to occur almost exclusively in the virtual world, which in turn, in the context of fraud, has a greater number of loopholes ... -
Modelagem de fração cura com a distribuição Gompertz
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2022)Survival Analysis is a broad and crucial field of Statistical Science. Survival models are useful for estimating the reliability function, describe data properties and more. Considering medical studies, the aim is ... -
Modelo de classificação para dados desbalanceados: método SMOTE e variantes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)Often, in classification models, we encounter databases that have highly imbalanced classes, such as: rare disease diagnostic data, manufacturing defects, fraudulent transactions, etc. Training a model on a dataset with ... -
Modelo de mistura padrão com fragilidade gama: aplicação a dados de melanoma
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/01/2024)Cancer is a malignant disease that can affect several organs. When it spreads throughout the body and reaches other organs, it is called metastasis, and this is the leading cause of cancer-related death. Although skin ... -
Modelo de predição para dados desbalanceados utilizando informações de financiamentos de veículos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/03/2023)For the statistics thesis project, a model adjustment is proposed for unbalanced data, using vehicle financing information, with the response variable being dichotomous, divided into defaulters and non-defaulters. ... -
Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)We explore the logist regression model, estimating its parameters through maximum likelihood and Bayesian estimators. We use mixtures of distributions for 𝐾 = 1 and 2 components. The Hamiltonian Monte Carlo implemented ... -
Modelo de Séries Temporais Autorregressivo Periódico - PAR
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)This work presents the study of a type of time series model, called of periodic autoregressive model, which emerged from the researches of Thomas and Fiering (1962), according to Hipel and McLeod (1994). Its use is mainly ... -
Modelos de regressão defeituosos zero ajustados aplicados a dados de risco de crédito
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/08/2023)With the increase in consumption of goods, services, and credit granting, it becomes necessary to control the risk of the process. This measure aims to prevent a possible default rate higher than what financial institutions ... -
Modelos lineares generalizados multinomiais univariado e bivariado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/06/2021)This work presents the basical theorics fundaments of the generalized linear models e the caracteristiscs of the univariate multinomial and binomial logistic regression analysis. Practical aplications of binomial regression ... -
Negrifeminicídio: O feminicídio de mulheres negras no estado de São Paulo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/01/0022)Violence against women and racism are extremely important issues that must be addressed with great care and seriousness. In this work, they will be presented together: the violent deaths of white and black women and their ... -
Um perfil do comportamento e características dos indivíduos frente a covid-19 a partir da pnad covid19
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 09/09/2022)The National Household Sample Survey (PNAD), which is conducted by IBGE, consists of general characteristics of the population, education, labor, income and housing. The COVID-19 pandemic, started in March 2020, imposed ... -
Prevendo a popularidade de um post no Instagram via métodos de Machine Learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/01/2024)This work was motivated by the current technological scenario in which we live, where people are increasingly connected on social networks, generating a vast amount of data daily. If used appropriately, these data can ... -
Previsão probabilística dos resultados da copa do mundo de 2022 usando uma abordagem bayesiana
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)This work aims to build and evaluate a predictive statistical model for football matches. To achieve this, we consider a Bayesian approach in a new model inspired by Lee (1997). The inspiration comes from two points ... -
Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ... -
Seleção de marcadores SNP: uma aplicação com diferentes metodologias
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 25/09/2020)The quantity and complexity of generated data due to advances in genetic sequencing technologies has made statistical analysis an essential tool for their correct study and interpretation. However, there is still no agreement ... -
Seleção de variáveis: uma aplicação a dados de moinho de cimento
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/12/2019)Having as object of study a certain mill that produces cement, we use two methods of variable selection, LASSO and stepwise, to identify variables that influence the engine power and, consequently, impact the cement ...