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The inverse uncertainty analysis
Annals of Nuclear Energy, 1988Abstract Uncertainty analysis is a method or methods for determining the uncertainties of given responses due to uncertainties in the input parameters. An inverse uncertainty analysis is a method or methods for determining the uncertainties of the input parameters due to the uncertainties of given responses.
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COST UNCERTAINTY ANALYSIS [PDF]
, 1968 Abstract : An important aspect of cost research is the measurement of the uncertainty inherent in the projection of system cost. Only recently have approaches utilizing such tools as statistical decision theory and probability theory been formulated. The study described here explores and evaluates three such techniques: (a) The derivation of moments ...
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Uncertainty In Environmental Analysis
2003Questions of safety or reliability in environmental engineering arise principally due to the presence of uncertainty. There are various sources and types of uncertainty due to randomness of physical phenomena and errors in modeling and prediction. The randomness inherent in physical phenomena is normally described using probability distributions and ...
Witold G. Strupczewski +2 more
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Uncertainties in Transportation Analysis
2012Like in most engineering disciplines, so also in transportation engineering, one often faces situations where the behaviour of the system is stochastic. Given the wide range of situations that comes under transportation engineering, the use of probability theory ranges from simple representation of variability through density functions to complex birth
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2010
Uncertainty must be identified before it can be quantified and analyzed. Though there are many methods for analyzing risk, there are few methods for systematic identification of uncertainty (Williams 1995). This is yet another neglected sector in practical project work (Samset 1998).
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Uncertainty must be identified before it can be quantified and analyzed. Though there are many methods for analyzing risk, there are few methods for systematic identification of uncertainty (Williams 1995). This is yet another neglected sector in practical project work (Samset 1998).
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2013
Incorporating risk and uncertainty analysis into hydrosystem engineering is seen as a means of improving the quality of decision-making process. The main purpose of this chapter is to provide an overview of the approaches to measure uncertainty for quantifying associated risks.
Mina Ziaei +2 more
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Incorporating risk and uncertainty analysis into hydrosystem engineering is seen as a means of improving the quality of decision-making process. The main purpose of this chapter is to provide an overview of the approaches to measure uncertainty for quantifying associated risks.
Mina Ziaei +2 more
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1996
Our intent now is to construct a robust stability condition which characterizes system robustness to stable LTI perturbations. Furthermore, we continue to develop a general framework in which to consider issues of robustness for sampled-data systems.
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Our intent now is to construct a robust stability condition which characterizes system robustness to stable LTI perturbations. Furthermore, we continue to develop a general framework in which to consider issues of robustness for sampled-data systems.
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Uncertainty and Variability Analysis
1999The Environmental Protection Agency is developing final standards for the allowable concentrations of disinfection by-products (discussed in Chapter 3) in U.S. drinking water supplies. While disinfection is known to lower significantly the risk from microbial infections, epidemiological studies have suggested that there are cancer and other risks from ...
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Uncertainty Analysis in River Modelling
2015Uncertainty analysis is an essential step in river modelling. Knowledge of the uncertainty is crucial for a meaningful interpretation of the model results. In this chapter we describe the whole process of an uncertainty analysis in four steps: identification, prioritization, quantification and propagation.
Martijn J. Booij, Jord Jurriaan Warmink
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