Results 231 to 240 of about 43,829 (264)

Propagation of Distributions Versus Law of Uncertainty Propagation

2016
Basic methods for calculating a measurement uncertainty are presented. One method is based on the approach called the propagation of distributions, and the second method is based on the approach called the law of uncertainty propagation. The methods give not the same calculation result in evaluation of standard uncertainty associated with the measurand.
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Multifidelity Uncertainty Propagation for Optimization Under Uncertainty

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2012
In optimization under uncertainty problems, estimating the statistical parameters that comprise the objective function and/or constraints many times during the search for the optimum can be computationally intensive. As a rst step towards multidelity optimization under uncertainty, uncertainty propagation through a computationally expensive, highdelity
Leo Wai-Tsun Ng, Dinh Bao Phuong Huynh, Karen Willcox   +2 more
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Propagation of Uncertainty and the Bootstrap

2014
At the beginning of this book we said that we wanted to lay out the key features of what we called, “the statistical paradigm,” which consists of broadly applicable concepts that guide reasoning from data in diverse contexts. One of its foundations is the idea that data may be used to express knowledge and uncertainty about unknown values of model ...
Robert E. Kass, Uri T. Eden, Emery N. Brown   +2 more
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Modeling and Propagation of Uncertainties

2013
The basic problem dealt with in this chapter consists in finding the distribution of a scalar quantity Y which is a function of a vector X of probabilistically qualified random quantities. The dependence of Y on X is not explicit, requiring algorithms for its determination.
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Uncertainty propagation

2023
Melanie Po-Leen Ooi, Arvind Rajan, Ye Chow Kuang, Serge Demidenko   +3 more
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An uncertainty propagation methodology that simplifies uncertainty analyses

38th Aerospace Sciences Meeting and Exhibit, 2000
The uncertainty analysis guidelines currently published by several engineering societies and standards organizations all use variations of the same traditional uncertainty propagation methodology. Under this methodology, a Taylor series approximation is used to estimate how the uncertainty in measured variables propagates through data reduction ...
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Managing uncertainty propagation in innovation ecosystems

Technological Forecasting and Social Change, 2021
Leonardo Augusto De Vasconcelos Gomes, Ana Lúcia Figueiredo Facin, Mario Sérgio Salerno   +2 more
exaly  

Uncertainty propagation in decision support models

International Journal of Operational Research, 2009
We propose an analytical approach to uncertainty analysis in decision support models. After providing the expression of the generic central and non-central moment of the model output, we prove that the expected value of the output equals the weighted average of the utility of all the consequences.
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Uncertainty and correlation propagation analysis of powertrain mounting systems based on multi-ellipsoid convex model

Mechanical Systems and Signal Processing, 2022
Hui Lu, Xiaoting Huang, Wen-Bin Shangguan   +2 more
exaly  

The Propagation and Analysis of Uncertainty

1990
Introduction Suppose we have constructed a model to predict the consequences of various possible events and decisions. And suppose further we have identified various uncertainties in the inputs. How can we propagate these uncertainties through the model to discover the uncertainty in the predicted consequences?
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