Uncertainty analysis investigates the uncertainty of variables that are used in decision-making problems in which observations and models represent the...

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...

Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities...

The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is...

Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications...

of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of...

predicted future. The term "deep uncertainty" distinguishes this approach from traditional decision theory and risk analysis, which typically assume that...

In metrology, measurement uncertainty is the expression of the statistical dispersion of the values attributed to a quantity measured on an interval or...

and uncertainty, and optimization, including linear and nonlinear programming. Its design is based on ideas from the field of decision analysis. As a...

Uncertainty or incertitude refers to situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements...

policy analysis, the expected value of including uncertainty (EVIU) is a measure that quantifies the potential benefit of incorporating uncertainty into...

cross-cultural psychology, uncertainty avoidance is how cultures differ on the amount of tolerance they have of unpredictability. Uncertainty avoidance is one of...

Since uncertainty always exists, one is always somewhere in the middle, somewhere between the extremes, somewhere in the grey area. Grey analysis then...

Probability bounds analysis (PBA) is a collection of methods of uncertainty propagation for making qualitative and quantitative calculations in the face...

statistics Experimental uncertainty analysis Machine epsilon Measurement error Measurement uncertainty Propagation of uncertainty Quantization error Relative...

Economic analysis of climate change is challenging as climate change is a long-term problem. Furthermore, there is still a lot of uncertainty about the...

Characterize Data Uncertainty in Material Flow Analysis and its Application to Plastics Flows in Austria: Characterization of Uncertainty of MFA Input Data"...

cost–benefit analysis True cost accounting – Accounting that measures the hidden impacts of economic activities on the environment Uncertainty quantification –...

consisting of both aleatoric and epistemic uncertainties that is often used in risk analysis or quantitative uncertainty modeling where numerical calculations...

to optimize robustness to failure under severe uncertainty, in particular applying sensitivity analysis of the stability radius type to perturbations in...

In mathematics, error analysis is the study of kind and quantity of error, or uncertainty, that may be present in the solution to a problem. This issue...

quality Engineering tolerance Exactness (disambiguation) Experimental uncertainty analysis F-score Floating-point arithmetic (section Accuracy problems) Hypothesis...

Decision tree to choose an uncertainty method for hydrological and hydraulic modelling, choosing an uncertainty analysis for flood modelling. Great footage...

terms, risk is the possibility of something bad happening. Risk involves uncertainty about the effects/implications of an activity with respect to something...

consulted in order to decide which alternative data sources to use. An uncertainty analysis is carried out so as to analyze the effects of different assumptions...

measurement uncertainty of individual measurement devices and/or measurement systems Common tools and techniques of measurement system analysis include:...

Sensitivity analysis identifies how uncertainties in input parameters affect important measures of building performance, such as cost, indoor thermal...

In statistics and uncertainty analysis, the Welch–Satterthwaite equation is used to calculate an approximation to the effective degrees of freedom of a...

Van-Nam Huynh; Vladik Kreinovich; Songsak Sriboonchitta; 2012. Uncertainty Analysis in Econometrics with Applications. Springer Science & Business Media...

"Equity Correlations Implied by Index Options: Estimation and Model Uncertainty Analysis". Mathematical Finance. 23 (3): 496–530. doi:10.1111/j.1467-9965...