UncertML

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UncertML is a conceptual model and XML encoding designed for encapsulating probabilistic uncertainties. UncertML is a conceptual model, with accompanying XML schemata, that may be used to quantify and exchange complex uncertainties in data. The interoperable model can be used to describe uncertainty in a variety of ways including:

• Realisations or sampled data
• Statistics including means, variances, standard deviations and quantiles
• Probability distributions including both marginal and joint distributions and mixture models

See also

• UncertML homepage
• UncertML documentation