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Modelos preditivos para LGD
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-05-04)
Financial institutions willing to use the advanced Internal Ratings Based (IRB) need to develop
methods to estimate the LGD (Loss Given Default) risk component. Proposals for PD (Probability
of default) modeling have ...
Application of Electricity Saving Habits in the Households of Students of Calasanz Hispanocostarricense High School, during the 2021 School Year with a Bimodal ModalityAplicación de hábitos de ahorro de energía eléctrica en los hogares de los estudiantes del Colegio Calasanz Hispanocostarricense, durante el curso lectivo con modalidad bimodal 2021
(Universidad Estatal a Distancia, Costa Rica, 2021)
Educação bimodal no curso de pedagogia: aprendizagens em estatística aplicada à educação
(Universidade Estadual de Campinas, 2009)
Fibonacci bimodal maps
(AMER INST MATHEMATICAL SCIENCES, 2008)
We introduce the Fibonacci bimodal maps on the interval and show that their two turning points are both in the same minimal invariant Cantor set. Two of these maps with the same orientation have the same kneading sequences ...
Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation
Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many ...
Bimodality based on the generalized skew-normal distribution
(TAYLOR & FRANCIS LTD, 2018)
Bimodal Regression Model
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2017-01-01)
Regression analysis is a technique widely used in different areas ofhuman knowledge, with distinct distributions for the error term. Itis the case, however, that regression models with bimodal responsesor, equivalently, ...