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  2. Experimental uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Experimental_uncertainty...

    The PDF for the estimated g values is also graphed, as it was in Figure 2; note that the PDF for the larger-time-variation case is skewed, and now the biased mean is clearly seen. The approximated (biased) mean and the mean observed directly from the data agree well.

  3. Probability bounds analysis - Wikipedia

    en.wikipedia.org/wiki/Probability_bounds_analysis

    Probability bounds analysis (PBA) is a collection of methods of uncertainty propagation for making qualitative and quantitative calculations in the face of uncertainties of various kinds. It is used to project partial information about random variables and other quantities through mathematical expressions.

  4. Probability box - Wikipedia

    en.wikipedia.org/wiki/Probability_box

    A p-box (probability box). A probability box (or p-box) is a characterization of uncertain numbers consisting of both aleatoric and epistemic uncertainties that is often used in risk analysis or quantitative uncertainty modeling where numerical calculations must be performed.

  5. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    The uncertainty on the output is described via uncertainty analysis (represented pdf on the output) and their relative importance is quantified via sensitivity analysis (represented by pie charts showing the proportion that each source of uncertainty contributes to the total uncertainty of the output).

  6. Brunswik's lens model - Wikipedia

    en.wikipedia.org/wiki/Brunswik's_lens_model

    Brunswik's lens model is a conceptual framework for describing and studying how people make judgments. For example, a person judging the size of a distant object, physicians assessing the severity of disease, investors judging the quality of stocks, weather forecasters predicting tomorrow's weather and personnel officers rating job candidates all face similar tasks.

  7. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    Uncertainty propagation is the quantification of uncertainties in system output(s) propagated from uncertain inputs. It focuses on the influence on the outputs from the parametric variability listed in the sources of uncertainty. The targets of uncertainty propagation analysis can be:

  8. An OpenAI whistleblower was found dead in his apartment ... - AOL

    www.aol.com/finance/openai-whistleblower-found...

    Since then, her efforts to make sense of the inexplicable tragedy have collided with a teeming online world of conspiracy theories all too eager to latch onto grief and uncertainty.

  9. Strategy and uncertainty - Wikipedia

    en.wikipedia.org/wiki/Strategy_and_uncertainty

    The analysis of the business environment will allow the organization to reshape or adapt its strategies to the changing market. In fact, with the correct scrutiny of deciding factors and the subsequent implementation of strategic systems, even extremely uncertain environments may deliver high returns with low risk. [ 10 ]