Examinando por Autor "Cogollo M"
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Ítem Detection of Fraudulent Transactions through a Generalized Mixed Linear Model.(Fondo Editorial Universidad EAFIT, 2012-02-01) Cogollo M; Gomez, Jackelyne; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThe detection of bank frauds has been a topic in which many financial sector companies have invested more time and resources to mitigate it and thus stay safe, howeverÍtem Optimal Estimation of Process Capability Indices with Non-Normal Data and Inaccurate Parameters using Metaheuristics(SRAC - Societatea Romana Pentru Asigurarea Calitatii, 2017-12-01) Cogollo M; Artega, Mònica; Cogollo, Juan Miguel; Flores, Andrea; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThe current methods for estimating Process Capability Indices are based on the assumptions of normality and accuracy of process data. Under actual production conditions the data of quality characteristics of the products may be non-normal and/or have imprecise parameters. Therefore, in this paper we propose a new methodology for estimating Process Capability Indices when the data are non-normal and the specification limits are not crisp numbers. The methodology was validated using experimental data. The proposed methodology uses the Clements's method assuming a Burr type XII distribution, whose parameters are estimated through metaheuristic techniques, and considers the obtaining of fuzzy numbers using the statistical inference theory.Ítem Positivity and Boundedness of Solutions for a Stochastic Seasonal Epidemiological Model for Respiratory Syncytial Virus (RSV)(Fondo Editorial Universidad EAFIT, 2017-01-01) Cogollo M; Gonzalez, Gilberto; Arenas, Abraham; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoIn this paper, we investigate the positivity and boundedness of the solution of a stochastic seasonal epidemic model for the respiratory syncytial virus (RSV).