Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components
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Sección: ArtículosTítulo: Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components / Junyu Zheng, H. Christopher FreyAutor: Zheng, JunyuNotas: Probabilistic methods are being developed to quantitatively describe both variability and uncertainty. In this article the approach for using mixture distributions and bootstrap simulation is illustrated with a case study of an empirical data set. This article focuses on mixture long-normal distributions with two components since a log- normal distribution describes random variability resulting from multiplicative processes and often well describes the concentration of a chemical in the environmentRegistros relacionados: En: Risk analysis : an international journal. - New York and London. - nº 3, June 2004 ; p. 553-571Materia / lugar / evento: Métodos estadísticosMatemáticasCálculo de probabilidadesIngeniería ambientalOtros autores: Frey, Christopher H. Títulos secundarios: Título: Risk analysis : an international journal Otras clasificaciones: 937.4Derechos: In Copyright (InC)