Communicating uncertainty: design patterns for framing model results in scientific publications
Uncertainty is a prominent issue in modelling. We learn early in our studies that “all models are wrong, but some are useful.” We also learn accompanying techniques for quantifying performance, and methods for addressing uncertainty within our analyses. When it comes to publishing our results, communicating uncertainty appears to be part of the craft side of modelling, one that we learn best by experience. Sooner or later, we discover that reviewers (and the reader) are willing to accept...[Show more]
|Collections||ANU Research Publications|
|Source:||MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand|
|Access Rights:||Open Access|
|01_Guillaume_Communicating_uncertainty%3A_2015.pdf||332.78 kB||Adobe PDF|
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