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Inferential trends towards error, scientific literacy and critical thinking: Pedagogical implications
(Universidad del Zulia, 2015)
Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-04-27)
The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...
Unsticking the Rationality Stalemate: Motivated Reasoning, Reality, and Irrationality
(2022)
Rationality is an elusive and increasingly debated concept in entrepreneurship research.
We offer a novel conceptualization of rationality based on reasoning motivations. We posit that logical, probabilistic, and heuristic ...
Semiparametric Bayesian inference for multilevel repeated measurement data
(WILEY, 2007)
We discuss inference for data with repeated measurements at multiple levels. The motivating example is data with blood counts from cancer patients undergoing multiple cycles of chemotherapy, with days nested within cycles. ...
Continuity equation for probability as a requirement of inference over paths
(Springer Heidelberg, 2016)
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag 2016.Local conservation of probability, expressed as the continuity equation, is a central feature of non-equilibrium Statistical Mechanics. In the existing ...
Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering
(SPRINGER HEIDELBERG, 2019)
Finite mixtures of (multivariate) Gaussian distributions have broad utility, including their usage for model-based clustering. There is increasing recognition of mixtures of asymmetric distributions as powerful alternatives ...
Estimation of the effect of interventions that modify treatment
(Wiley, 2013-08)
Motivated by a study of surgical operating time and post-operative outcomes for lung cancer, we consider the estimation of causal effects of continuous point-exposure treatments. To investigate causality, the standard ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...