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Recent studies have used hidden Markov models (HMM) for quantifying uncertainties in drought classification.
Quantifying uncertainties in vehicle growth projections is generally undertaken using detailed local information obtained from appropriate field surveys.
Stochastic model updating must be considered for quantifying uncertainties inherently existing in real-world engineering structures.
Quantifying uncertainties on code outputs is an important step for code-based design and scenario development.
Methods for quantifying uncertainties in criteria PVs and CWs are presented.
We introduce a general framework for quantifying uncertainties associated with indicators employed to assess ecological status in waterbodies.
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It is important to quantify the uncertainty due to uncertain model parameter, but methods for quantifying uncertainty due to uncertainty in model structure are less well developed.
The analytical results quantifying uncertainty gives a measure of the confidence level of the concerned laboratory.
From these accuracy and precision results, method uncertainty estimated based on EURACHEM for quantifying uncertainty (EURACHEM 2000).
Generally, the FP-KLE is capable of quantifying uncertainty propagation in a highly heterogeneous flood modelling system.
The act of quantifying uncertainty and variability is significant, and researchers have proposed different mathematical models to properly illustrate them.
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