At this time when regulatory agencies are accepting and actively encouraging probabilistic approaches and the attribution of overall uncertainty among inputs to support Value of Information analyses, a comprehensive sourcebook on methods for addressing variability and uncertainty in exposure analysis is sorely needed. This need is adroitly met in Probabilistic Techniques in Exposure Assessment. A host of expert contributors provide a straightforward introduction to the practical tools for addressing variability and uncertainty in support of environmental and human health decision making. 151 graphs, plots, charts, and figures supplement a broad range of detailed and practical examples.

Introduction. A Basic Framework for Probabilistic Analysis. Approaches to Model Uncertainty. Characterizing Variability and Uncertainty in Model Inputs. Data and Distributions. Special Topics Related to Distribution Development. Probabilistic Modeling Techniques. Identifying Key Contributors to Variability and Uncertainty in Model Outputs. An Illustrative Case Study of the Application of Probabilistic Exposure Assessment. Glossary. Index.