Now showing items 1-10 of 1717
Um novo estimador exponencial por partes da curva de sobrevivência: um estudo comparativo
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2006-05-31)
In this work we revise the main basic concepts on survival analysis and reliability.
We present the most known nonparametric estimators of the survival function in the
presence of censured data. Their estimates are ...
Performance analysis of the weighted least-squares and maximum likelihood estimators in the joint estimation of source flux and background
(Universidad de Chile, 2022)
This thesis studies the possible benefits of simultaneous inference when estimating the brightness of a point source in the sky and the background that the signal is embedded into, and how this joint estimation scheme is ...
Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2021-09-21)
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents ...
Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2015-09-30)
In this thesis, we extend the analysis of multivariate Seemingly Unrelated Regression (SUR) Tobit models by modeling their nonlinear dependence structures through copulas. The capability in coupling together the diferent ...
Dual reconstructive autoencoder for crowd localization and estimation in density and FIDT maps.
(Universidad de Concepción, Facultad de Ingeniería, Departamento de Ingeniería Eléctrica., 2022)
This research proposes a novel crowd estimation technology to help authorities to make the
right decisions in times of crisis. Specifically, deep learning models have faced these challenges,
achieving excellent results. ...