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Structural reliability analysis can produce more efficient designs, but requires an understanding of how all sources uncertainty effect probability of failure.
Model uncertainty can be thought of as coming from two different sources, uncertainty due to changes in controlled conditions, such as temperature and input force level, and uncertainty associated with others random factors, such as measurement noise, etc.
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As a conservative compromise to cover source uncertainty, a 5 km buffer zone was added to each fitted boundary.
We believe similar ensemble based approaches that also include eruption source uncertainty are needed for ash fall forecasts.
The importance of incorporating source-uncertainty in spatially varying micromechanical material properties is demonstrated numerically.
The station and event delays accommodate variations in crustal velocity and thickness and source uncertainties in the inversion.
The station and event delays accommodate variations in crustal velocity and thickness, as well as source uncertainties.
Here we shortly describe how to 1. identify and characterize sources of uncertainty; 2. prioritize sources of uncertainties; and 3. select and apply methods for dealing with uncertainties.
The sources of uncertainty can be categorized into parameter and model uncertainties [e.g. [ 1, 2]].
But other sources of uncertainty remain as well.
That reinforces other sources of uncertainty, like the path of health-care reform in America.
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