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  2. Uncertainty management theory - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_management_theory

    Uncertainty management theory (UMT), developed by Dale Brashers, addresses the concept of uncertainty management. Several theories have been developed in an attempt to define uncertainty, identify its effects and establish strategies for managing it. [1] Uncertainty management theory was the first theory to decline the idea that uncertainty is ...

  3. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known.

  4. Model risk - Wikipedia

    en.wikipedia.org/wiki/Model_risk

    Uncertainty on correlation parameters is another important source of model risk. Cont and Deguest propose a method for computing model risk exposures in multi-asset equity derivatives and show that options which depend on the worst or best performances in a basket (so called rainbow option) are more exposed to model uncertainty than index options.

  5. Info-gap decision theory - Wikipedia

    en.wikipedia.org/wiki/Info-gap_decision_theory

    Wald's Maximin model is the main instrument used by these methods. The principal difference between the Maximin model employed by info-gap and the various Maximin models employed by robust optimization methods is in the manner in which the total region of uncertainty is incorporated in the robustness model. Info-gap takes a local approach that ...

  6. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Identify the model output to be analysed (the target of interest should ideally have a direct relation to the problem tackled by the model). Run the model a number of times using some design of experiments, [15] dictated by the method of choice and the input uncertainty. Using the resulting model outputs, calculate the sensitivity measures of ...

  7. Uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_analysis

    In physical experiments uncertainty analysis, or experimental uncertainty assessment, deals with assessing the uncertainty in a measurement.An experiment designed to determine an effect, demonstrate a law, or estimate the numerical value of a physical variable will be affected by errors due to instrumentation, methodology, presence of confounding effects and so on.

  8. 15 books we can't wait to read: Most anticipated releases of 2025

    www.aol.com/15-books-cant-wait-read-140018897.html

    In “My Friends,” a woman seeks real-life inspiration for one of the most famous paintings in the world – three tiny figures sitting on a pier. Twenty-five years earlier, three teenagers ...

  9. Strategy and uncertainty - Wikipedia

    en.wikipedia.org/wiki/Strategy_and_uncertainty

    There may be uncertainty regarding the best technological process, or when a superior technology may be invented. Furthermore, external uncertainty can be influenced by powerful firms which can establish standards for product specifications while small firms have to adjust to this. Finally, uncertainty can arise from within the firm as well.