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Risk is a state of uncertainty, where some possible outcomes have an undesired effect or significant loss. Measurement of risk includes a set of measured uncertainties, where some possible outcomes are losses, and the magnitudes of those losses.
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 ...
www.statslab.cam.ac.uk /person /ds28 Sir David John Spiegelhalter (born 16 August 1953) is a British statistician and a Fellow of Churchill College, Cambridge . [ 1 ] [ 3 ] [ 4 ] [ 5 ] From 2007 to 2018 he was Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge . [ 6 ]
Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. [1] [2] This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output.
The Harding Professorship of Statistics in Public Life (formerly known as the Winton Professorship of the Public Understanding of Risk) is a professorship within the Statistical Laboratory of the University of Cambridge. [1]
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.
This understanding, combined with the recognition of mindfulness as a factor in effective communication, led Gudykunst to name his research Anxiety/Uncertainty Management theory. Gudykunst assumed that at least one participant in an intercultural encounter is a "stranger"—someone who feels insecure and unsure how to behave.
Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification, characterization, and analysis of performance thresholds and their associated margins for engineering systems that are evaluated under conditions of uncertainty, particularly when portions of those results are generated using computational ...
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