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Now showing items 21-25 of 25
Um procedimento para seleção de variáveis em modelos lineares generalizados duplos
(Universidade Federal de São Carlos, 2019-04-01)
The double generalized linear models (DGLM), unlike the generalized linear model (GLM), allow the fit of the dispersion parameter of the response variable as a function of predictor variables, improving the way of modeling ...
Modelos Lomax assimétricos: uma nova abordagem para a classificação de dados binários desbalanceados
(Universidade Federal de São Carlos, 2023-05-17)
Imbalanced data refers to a dataset where one class has significantly fewer observations than the other class. This can lead to poor performance of both machine learning algorithms and statistical models, since most of ...
Uma abordagem estatística para a análise dos resultados das eleições presidenciais
(Universidade Federal de São Carlos, 2024-01-15)
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 ...
Modelagem de predição de crimes na região metropolitana de São Paulo
(Universidade Federal de São Carlos, 2023-12-13)
The issue of public security is a challenge for Brazilian society, and crime is a major concern for the most populous state in the country, São Paulo. It is always desirable for the public administration to model and predict ...
Reliability analysis of repairable systems considering unobserved heterogeneity and competing risks
(Universidade Federal de São Carlos, 2023-10-09)
In repairable systems, the failure process defined by the failure intensity function can be impacted by three crucial characteristics: the type of repair performed after the failures occur, the underlying cause of the ...