uncertainty analysis वाक्य
उदाहरण वाक्य
मोबाइल
- An uncertainty analysis is nearly always included in a health risk assessment.
- Uncertainty analysis is often called the " propagation of error ."
- The effects of a number of these assumptions were evaluated in an uncertainty analysis.
- An uncertainty analysis is carried out so as to analyze the effects of different assumptions.
- An uncertainty analysis for the estimated quantity ( concentration, release, uptake ) is also part of the calibration process.
- In physical experiments "'uncertainty analysis "', or "'experimental uncertainty assessment "', deals with assessing the uncertainty in a measurement.
- Another approach is that of uncertainty analysis, where analysts attempt to estimate the probability of future changes in emission levels.
- Allard S, Ekberg C ( 2006 ) Complexing Properties of ?-Isosaccharinate : Stability Constants, Enthalpies and Entropies of Th-complexation with Uncertainty Analysis.
- In other engineering fields, particularly mechanical engineering, uncertainty analysis examines systematic and random components of variations in measurements associated with physical experiments.
- Blower and her colleagues poured thousands of scenarios into computers that perform one of the dark arts of mathematics known as " uncertainty analysis ."
- His areas of research interests include fuzzy sets and uncertainty analysis, artificial neural networks for machine intelligence, pattern recognition, image processing, data mining, genetic algorithms, rough sets, and soft computing.
- This requires, first, a quantification of the uncertainty in any model results ( uncertainty analysis ); and second, an evaluation of how much each input is contributing to the output uncertainty.
- Likewise in numerical experiments and modelling uncertainty analysis draws upon a number of techniques for determining the reliability of model predictions, accounting for various sources of uncertainty in model input and design.
- Because these is always varies degrees of uncertainty involved in any risk analysis process, sensitivity and uncertainty analysis are usually carried out to mitigate the level of uncertainty and therefore improve the overall risk assessment result.
- Covington T . R ., Gentry P . R ., et al ., 2007, The use of Markov chain Monte Carlo uncertainty analysis to support a Public Health Goal for perchloroethylene, Regulatory Toxicology and Pharmacology, 47 : 1-18.
- Sensitivity analysis addresses the second of these issues ( although uncertainty analysis is usually a necessary precursor ), performing the role of ordering by importance the strength and relevance of the inputs in determining the variation in the output.
- We need to know the statistical model, as stated above . ( The standard treatment assumes independent errors with a normal distribution . ) You might be interested in this Wikipedia article : Experimental uncertainty analysis written by a retired nuclear scientist guy ."
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