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  1. Stochastic Environmental Research and Risk Assessment
  2. Stochastic Environmental Research and Risk Assessment : Volume 11
  3. Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 3, June 1997
  4. On the problem of model validation for predictive exposure assessments
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Stochastic Environmental Research and Risk Assessment : Volume 31
Stochastic Environmental Research and Risk Assessment : Volume 30
Stochastic Environmental Research and Risk Assessment : Volume 29
Stochastic Environmental Research and Risk Assessment : Volume 28
Stochastic Environmental Research and Risk Assessment : Volume 27
Stochastic Environmental Research and Risk Assessment : Volume 26
Stochastic Environmental Research and Risk Assessment : Volume 25
Stochastic Environmental Research and Risk Assessment : Volume 24
Stochastic Environmental Research and Risk Assessment : Volume 23
Stochastic Environmental Research and Risk Assessment : Volume 22
Stochastic Environmental Research and Risk Assessment : Volume 21
Stochastic Environmental Research and Risk Assessment : Volume 20
Stochastic Environmental Research and Risk Assessment : Volume 19
Stochastic Environmental Research and Risk Assessment : Volume 18
Stochastic Environmental Research and Risk Assessment : Volume 17
Stochastic Environmental Research and Risk Assessment : Volume 16
Stochastic Environmental Research and Risk Assessment : Volume 15
Stochastic Environmental Research and Risk Assessment : Volume 14
Stochastic Environmental Research and Risk Assessment : Volume 13
Stochastic Environmental Research and Risk Assessment : Volume 12
Stochastic Environmental Research and Risk Assessment : Volume 11
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 6, December 1997
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 5, October 1997
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 4, August 1997
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 3, June 1997
An analysis of the characteristics of rough bed turbulent shear stresses in an open channel
Parameter estimation for 2-parameter generalized pareto distribution by POME
On the problem of model validation for predictive exposure assessments
A mean behavior model of aerobic biodegradation in heterogeneous formation
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 2, April 1997
Stochastic Environmental Research and Risk Assessment : Volume 11, Issue 1, February 1997

On the problem of model validation for predictive exposure assessments

Content Provider Springer Nature Link
Author Beck, M. B. Ravetz, J. R. Mulkey, L. A. Barnwell, T. O.
Copyright Year 1997
Abstract The development and use of models for predicting exposures are increasingly common and are essential for many risk assessments of the United States Environmental Protection Agency (EPA). Exposure assessments conducted by the EPA to assist regulatory or policy decisions are often challenged to demonstrate their “scientific validity”. Model validation has thus inevitably become a major concern of both EPA officials and the regulated community, sufficiently so that the EPA's Risk Assessment Forum is considering guidance for model validation. The present paper seeks to codify the issues and extensive foregoing discussion of validation with special reference to the development and use of models for predicting the impact of novel chemicals on the environment. Its preparation has been part of the process in formulating a White Paper for the EPA's Risk Assessment Forum. Its subject matter has been drawn from a variety of fields, including ecosystem analysis, surface water quality management, the contamination of groundwaters from high-level nuclear waste, and the control of air quality. The philosophical and conceptual bases of model validation are reviewed, from which it is apparent that validation should be understood as a task of product (or tool) design, for which some form of protocol for quality assurance will ultimately be needed. The commonly used procedures and methods of model validation are also reviewed, including the analysis of uncertainty. Following a survey of past attempts at resolving the issue of model validation, we close by introducing the notion of a model having maximum relevance to the performance of a specific task, such as, for example, a predictive exposure assessment.
Starting Page 229
Ending Page 254
Page Count 26
File Format PDF
ISSN 09311955
Journal Stochastic Environmental Research and Risk Assessment
Volume Number 11
Issue Number 3
e-ISSN 1435151X
Language English
Publisher Springer-Verlag
Publisher Date 1997-01-01
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Subject Keyword Model validation analysis of uncertainty model verification quality assurance system identification model calibration Math. Applications in Geosciences Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences Numerical and Computational Methods in Engineering Math. Application in Environmental Science Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type Text
Resource Type Article
Subject Ocean Engineering Environmental Chemistry Environmental Engineering Water Science and Technology Environmental Science Safety, Risk, Reliability and Quality Mechanical Engineering Modeling and Simulation
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