Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components

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<dc:creator>Zheng, Junyu</dc:creator>
<dc:creator>Frey, Christopher H.</dc:creator>
<dc:date>2004-06-01</dc:date>
<dc:description xml:lang="es">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 environment</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/57686.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Métodos estadísticos</dc:subject>
<dc:subject xml:lang="es">Matemáticas</dc:subject>
<dc:subject xml:lang="es">Cálculo de probabilidades</dc:subject>
<dc:subject xml:lang="es">Ingeniería ambiental</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components</dc:title>
<dc:title xml:lang="es">Título: Risk analysis : an international journal</dc:title>
<dc:relation xml:lang="es">En: Risk analysis : an international journal. - New York and London. - nº 3, June 2004 ; p. 553-571</dc:relation>
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