Listar por temas CNPq "CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOS"

Mostrando ítems 1-20 de 61

    • Métodos Bayesianos para seleção de modelos de mistura de distribuições normais e t de Student assimétricas 

      Macerau, Walkiria Maria de Oliveira (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 28/06/2023)
      In this work, we consider mixture models whose components of the mixture are modeled by the skew normal and skew t distributions. For the estimation of these skew mixtures models, we used a Bayesian approach, via Markov ...

    • Desenvolvimento de um método para projetar, analisar e controlar o processo de fabricação em tempo real de um produto farmacêutico empregando ferramentas quimiométricas e infravermelho 

      Kondo, Simone Mayumi (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Química - PPGQ, Câmpus São Carlos, 13/06/2023)
      Innovation and continuous improvements in manufacturing processes to produce high quality drugs in a short period of time has been a great challenge in the pharmaceutical industries. The use of Process Analytical Technology ...

    • Using VAE for incomplete educational data 

      Escobar Montecino, Claudia Evelyn (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/03/0023)
      In Psychometrics, especially in educational assessments, incomplete databases are common. An individual may leave items unanswered in an assessment due to lack of time, forgetting the content involved, nervousness, or ...

    • Modelo de predição para dados desbalanceados utilizando informações de financiamentos de veículos 

      Oliveira, Larissa Torres (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. ...

    • Máquinas de vetores suporte com aplicação em classificação de crédito 

      Brandini, Bruno Matheus (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 ...

    • O aluno em ação: coeficientes, taxas e índices 

      Zago, Luana (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ensino de Ciências Exatas - PPGECE, Câmpus São Carlos, 09/02/2023)
      This work addresses a sequence of activities applied in a classroom, in a public school in the city of Bariri in the state of São Paulo, with numerous challenges, some of which are reported in the text. The work was ...

    • Análise de dados georreferenciados via R com a assistência de inteligência artificial: aplicações no estudo do uso e ocupação do solo 

      Souza, Ruth Silva (Universidade Federal de São Carlos, UFSCar, , Câmpus Lagoa do Sino, 30/03/2023)
      Environmental management requires comprehensive analysis of georeferenced data, such as land use and land cover data for informed decision making on environmental issues. In this context, GIS programs stand out, allowing ...

    • Merge trees decoradas e TDA 

      Falsarella, Guilherme de Carvalho (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Matemática - PPGM, Câmpus São Carlos, 10/08/2023)
      In this document, first we will introduce Persistance Homology and Category Theory basic concepts. Afterwards, we will develop the Merge Tree Theory which will be useful to keep track of connected components evolution of ...

    • Modelagem via redes neurais de dados de sobrevivência de longa duração com dispersão não observada 

      Teh, Led Red (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 08/12/2023)
      Traditional models in survival analysis assume that every subject will eventually experience the event of interest in the study, such as death or disease recurrence, so the survival function is said to be proper. Cure rate ...

    • Uma abordagem estatística para a análise dos resultados das eleições presidenciais 

      Lachos Olivares, Victor Eduardo (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 15/01/2024)
      Multiparty data has characteristics that make it compositional data such as a constant sum of components and a limited space known as simplex. Thus, the purpose of the work is to develop a methodology to analyze multi-party ...

    • Modelos para séries temporais utilizando as distribuições normal generalizada e log-normal generalizada 

      Milani, Eder Angelo (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 23/03/2016)
      From the generalized normal distribution and concepts of the generalized autoregressive moving averages models we introduce the generalized normal-ARMA model as an alternative way to model time series exhibiting symmetry ...

    • Modelos de regressão defeituosos zero ajustados aplicados a dados de risco de crédito 

      Souza, Crystiane Fernanda (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 ...

    • Estudo da prevalência de transtornos mentais comuns via métodos de classificação 

      Martinez, Giulia Molina (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/02/2024)
      The present undergraduate thesis focuses on the study of the association between specific variables and the diagnosis of common mental disorders. To achieve this goal, we examined classification methods, namely decision ...

    • Método bagging para aprimoramento de previsões de séries temporais 

      Camargo, Juliana Shibaki (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/10/2021)
      Different methodologies are proposed and explored aiming to reduce time series forecasting error. A promising approach consists in combining different forecasts from different models in order to get a better accuracy, ...

    • Utilização de algoritmos de classificação para diagnóstico de diabetes 

      Oliveira, Larissa de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/02/2024)
      The undergraduate thesis consists of the study of binary classification algorithms for diagnosing diabetes based on clinical data and physical activity data. For this purpose, we will accomplish a statistical and conceptual ...

    • Negrifeminicídio: O feminicídio de mulheres negras no estado de São Paulo 

      Carvalho, Alicia Scordamaia de (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 ...

    • Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros 

      Sturaro, Rafael Setti Riedel (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/08/2023)
      Many binary classification problems exhibit unbalanced classes, which consists of one of the two classes being significantly more numerous than the other. The minority class is the least representative, with far fewer ...

    • Previsões de preço de criptomoedas utilizando algoritmos de Aprendizado de Máquina 

      Nordi, Victor Hugo Werneck (Universidade Federal de São Carlos, UFSCar, , Câmpus Sorocaba, 10/10/2023)
      Cryptourrencies are decentralized digital currencies created with the intent of replacing traditional forms of payment. Their high volatility is one of the aspects that causes distrust among investors. Artificial Intelligence ...

    • Um perfil do comportamento e características dos indivíduos frente a covid-19 a partir da pnad covid19 

      Janine, Samantha Navarro (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 ...

    • Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada 

      Treméa, Samuel (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 ...