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  2. Experimental uncertainty analysis - Wikipedia

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

    Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity.

  3. Campaign rhetoric of Barack Obama - Wikipedia

    en.wikipedia.org/wiki/Campaign_rhetoric_of...

    Hope became another repeated topic and theme in the campaign, being the fourth most stated concept behind the economy, change, and security. [2] Below is an example of hope as a motif from Obama's 2004 Democratic National Convention keynote address: "Hope in the face of difficulty. Hope in the face of uncertainty. The audacity of hope!" [4]

  4. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    Aleatoric uncertainty is also known as stochastic uncertainty, and is representative of unknowns that differ each time we run the same experiment. For example, a single arrow shot with a mechanical bow that exactly duplicates each launch (the same acceleration, altitude, direction and final velocity) will not all impact the same point on the ...

  5. Predicted outcome value theory - Wikipedia

    en.wikipedia.org/wiki/Predicted_outcome_value_theory

    Predicted outcome value theory is an alternative to uncertainty reduction theory, which Charles R. Berger and Richard J. Calabrese introduced in 1975. Uncertainty reduction theory states that the driving force in initial interactions is to collect information to predict attitudes and behaviors for future relationship development.

  6. Three Hours To Change Your Life - images.huffingtonpost.com

    images.huffingtonpost.com/2013-01-04-ThreeHours...

    be done at any time of the time of the year with equal success. Don't think of this as a book that's only about January through December --- if you're reading it now, then now's the time to answer the questions, believe you can do it, and get on with it. This book is divided into three parts: Part One An introduction to the principles on which Best

  7. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Taking into account uncertainty arising from different sources, whether in the context of uncertainty analysis or sensitivity analysis (for calculating sensitivity indices), requires multiple samples of the uncertain parameters and, consequently, running the model (evaluating the -function) multiple times. Depending on the complexity of the ...

  8. Strategy and uncertainty - Wikipedia

    en.wikipedia.org/wiki/Strategy_and_uncertainty

    For example, based on scenario planning, [9] Mondex, the financial services provider, forecasted the introduction of electronic cash transactions and made big investments in product development to adjust to what the company assumed was the future of the industry. This was the right move, as Mondex responded on time to the growing need of the ...

  9. 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 ...