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

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MAP20071505786
Zheng, Junyu
Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components / Junyu Zheng, H. Christopher Frey
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
En: Risk analysis : an international journal. - New York and London. - nº 3, June 2004 ; p. 553-571
1. Métodos estadísticos . 2. Matemáticas . 3. Cálculo de probabilidades . 4. Ingeniería ambiental . I. Frey, Christopher H. . II. Title. III. Título: Risk analysis : an international journal.