Quantification of variability and uncertainty using mixture distributions : evaluation of sample size, mixing weights, and separation between components
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| 001 | MAP20071505786 | ||
| 003 | MAP | ||
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| 040 | $aMAP$bspa | ||
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| 100 | 1 | $0MAPA20080059798$aZheng, Junyu | |
| 245 | 1 | 0 | $aQuantification of variability and uncertainty using mixture distributions$b: evaluation of sample size, mixing weights, and separation between components$cJunyu Zheng, H. Christopher Frey |
| 520 | 8 | $aProbabilistic 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 | |
| 650 | 0 | 1 | $0MAPA20080597665$aMétodos estadísticos |
| 650 | 1 | $0MAPA20080559373$aMatemáticas | |
| 650 | 1 | 1 | $0MAPA20080616106$aCálculo de probabilidades |
| 650 | 1 | 1 | $0MAPA20080597177$aIngeniería ambiental |
| 700 | 1 | $0MAPA20080263621$aFrey, Christopher H. | |
| 740 | 0 | $aRisk analysis : an international journal | |
| 773 | 0 | $wMAP20077000345$tRisk analysis : an international journal$dNew York and London$gnº 3, June 2004 ; p. 553-571 |