uncertainty bounds
Hybrid life cycle assessment of low, mid and high-rise multi-family dwellings with development of knowledge-based uncertainty bounds
... parameter uncertainty as an integrated part of ...characterize bounds than to characterize a detailed distribution as required by most approaches to uncertainty ...these bounds and, through an ...
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How Uncertainty Bounds the Shape Index of Simple Cells
... These inequalities play the same role for the noncommutative symmetries of ro- tations and translations as the one played by the ordinary uncertainty inequality for the noncommutativity of quantum mechanical ...
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On the field estimation of moisture content using electrical geophysics‐the impact of petrophysical model uncertainty
... (with uncertainty bounds) using the different petrophysical ...The uncertainty bounds correspond to ±1 standard ...(i.e. uncertainty) caused by uncertain porosity values ...
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Worst Case of Relative Disturbance Gain Array for Uncertain Distillation System
... RGA uncertainty bounds. Two types of model uncertainty were considered: worst case bounds, where all elements of the steady state process gain matrix are allowed to change simultaneously ...
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Possibilistic uncertainty analysis of a conceptual model of snowmelt runoff
... tive uncertainty arising from parameter uncertainties of the watershed model is ...certainty bounds are subsequently ...the uncertainty bounds without a significant increment in the number of ...
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Quantifying river-groundwater interactions of New Zealand's gravel-bed rivers: The Wairau Plain
... Figure 4: Wairau Plain surface water - groundwater flow model... The corresponding Wairau River discharge at SH1 is shown in the top panel and 95% uncertainty bounds are shaded gray..[r] ...
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On the measureable range of absorption cross-section in a reverberation chamber
... The measured ACSs of the RAM cubes are shown in Fig. 12 compared to the predictions of the Mie Series. The 1/3 relative uncertainty bounds, determined using the measured Q- factor and K-factor, are also ...
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Quantifying uncertainty about future antimicrobial resistance : comparing structured expert judgment and statistical forecasting methods
... this uncertainty is crucial for guiding decisions about investment in antibiotics and resistance control ...with uncertainty bounds of resistance rates through 2026 for nine pathogen-antibiotic pairs ...
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The challenges of modelling phosphorus in a headwater catchment: Applying a "limits of acceptability" uncertaintly framework to a water quality model
... In the application of SWAT to the Newby Beck headwater catch- ment in the UK, it is shown that the limits of acceptability based on output observational uncertainties have to be relaxed by a sub- stantial amount (by ...
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The challenges of modelling phosphorus in a headwater catchment: Applying a ‘limits of acceptability’ uncertainty framework to a water quality model
... the uncertainty bounds of at least one of the observations and is weighted based upon A) the number of measurements it intersects and B) how close it lies to the true value (in this case we use a triangular ...
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Essays on environmental economics
... intrinsic uncertainty in the form of exogenous shocks and risks needs to be developed, if we are to safely answer the question of whether a stringent abatement policy needs to be ...
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LQ performance bounds for adaptive output feedback controllers for functionally uncertain systems
... the bounds obtained are likely to be conser- vative, we contend that these results have utility beyond a 2rst attempt at a constructive a-priori determined cost functional ...the bounds given in this paper, ...
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Investor heterogeneity and the cross-section of U.K. investment trust performance
... When financial markets are incomplete, there is not a unique stochastic discount factor to evaluate fund performance 1 . Ferson(2010) and Ferson and Lin(2010) point out that since marginal utility growth will vary across ...
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The challenges of modelling phosphorus in a headwater catchment:Applying a 'limits of acceptability' uncertainty framework to a water quality model
... Figure 5: Generalized Likelihood Uncertainty Estimation GLUE weighted prediction bounds green shading for discharge a and total phosphorus loads b for Newby Beck outlet part of the calib[r] ...
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Bounds on survival probability given mean probability of failure per demand; And the paradoxical advantages of uncertainty
... Permanent repository link: http://openaccess.city.ac.uk/13809/ Link to published version: http://dx.doi.org/10.1016/j.ress.2014.02.004 Copyright and reuse: City Research Online aims to m[r] ...
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Model-based approach to reliable information transfer over time-varying communication channels
... Independent time-varying fading channel model is a memoryless channel whose statistical law may vary with time in a totally arbitrary and unknown manner during the channel usage [32]. Thereby, the independent fading ...
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An approach to represent time series forecasting via fuzzy numbers
... As it has been mentioned the previous step, the number of subintervals (P) is a design parameter and its choice will directly affect the mapping of the FLUBE. The effect of the P value is illustrated in Fig. 5 for 𝑃 = 80 ...
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Bounds on survival probability given mean probability of failure per demand; and the paradoxical advantages of uncertainty
... of uncertainty people may reach different decisions de- pending on whether they apply formal mathematical reasoning or what we may call “intuitive” judgement – well developed, not fully conscious, quick decision ...
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Bounds on survival probability given mean probability of failure per demand; And the paradoxical advantages of uncertainty
... of uncertainty people may reach different decisions de- pending on whether they apply formal mathematical reasoning or what we may call “intuitive” judgement – well developed, not fully conscious, quick decision ...
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Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions
... per bounds. These are upper bounds on the achievable value in large-scale MASs formed by computing local influence- optimistic upper bounds on the value of sub-problems that consist of small subsets ...
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