uncertainty data analysis method
Dam Overtopping Risk Analysis Modeling Case Study: Bhatsa Dam, Thane
... hydrologic analysis of the dam depends upon probabilistic assessment of rainfall, runoff and flood routing ...risk analysis and uncertainty analysis use statistical and mathematical models ...
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Uncertainty and Sensitivity Analysis of Dynamic Biological Systems under Data Sparseness.
... Screening method for sensitivity analysis of dynamic ...bootstrap method of uncertainty analysis, we calculated confidence intervals that encapsulated true parameter values as well as ...
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A pseudo-statistical approach to treat choice uncertainty: the example of partitioning allocation methods
... statistical method (not statistical in the strict sense of the word) to enable the use of Monte Carlo simulations as a statistical approach to simultaneously propagate uncertainty in unit pro- cess ...
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Advanced Line Sampling for efficient robust reliability analysis
... of uncertainty is generalized to include both aleatory and epistemic uncertainties, and capture gaps of knowledge and scarcity of ...generalized uncertainty model allows for sets of probability distribution ...
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Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach
... frequency analysis remains; only the data set of measured discharges is extended with the use of a bootstrap ...this method is close to current practice of water managers. We extend the data ...
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Parametric Cost Estimating and Risk Analysis of Transportation Tunneling Projects
... the uncertainty of the given geologic data obtained by interviewing ...The data are obtained by subdividing the tunnel geology into zones that correspond to particular geologic units (Haas and ...
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Kriging regression in digital image correlation for error reduction and uncertainty quantification
... spatial analysis and computer experiments ...(prediction) method to approximate unsampled points using random variables as a realization of a stochastic ...fitted data and is motivated by a minimum ...
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A KERNEL MAXIMUM UNCERTAINTY DISCRIMINANT ANALYSIS AND ITS APPLICATION TO FACE RECOGNITION
... In this work, we extended the MLDA approach to its non-linear version. This non-linear version of MLDA, here called KMDA, is a KPCA+MLDA two-stage method. To evaluate the KMDA effectiveness, ex- periments on face ...
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Probabilistic stability analysis of crushed fault zone in the Zaker-Sorkhedizaj tunnel, NW Iran
... Stability analysis of tunnels is a geotechnical engineering problem characterized by many sources of ...probabilistic analysis, the best fitted distributions to rock mass characteristics were first ...
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Uncertainty analysis for a wave energy converter: the Monte Carlo method
... Uncertainty analysis is an indispensable tool in each phase of an experimental ...and data analysis phases; and finally to provide a quantitative indication of the quality of experimental ...
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Uncertainty analysis of dynamic thermal rating based on environmental parameter estimation
... DTR uncertainty is evaluated by MCM ...measurement data of environmental parameters, the estimation uncertainty of ambient temperature, wind speed, and wind direction at 8 ...Carlo analysis ...
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Review on Empirical Detection of Humanistic Real-Time Behavioral Scooping and Interpretation from Multivariate Data
... granularity method. Our data analysis and algorithms use this temporal granularity instead of the original ...timestamp. Uncertainty: Although some behaviors such as mobility are highly ...
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Reanalysis of multi-temporal aerial images of Storglaci¨aren, Sweden (1959–99) – Part 2: Comparison of glaciological and volumetric mass balances
... glaciological method as described by Østrem and Brugman ...100 data points km −2 ...latter data and used to calculate den- sity for each of the snow depth ...
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A review of uncertainty in data visualization
... Understanding uncertainty is one of the great scientific challenges of our ...the data they are displaying are ...unique data value, but to a set of values - so-called multivalue ...the ...
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Statistics of complex eigenvalues in friction-induced vibration
... eigenvalue analysis is ...and uncertainty of input variables in the stability analysis of self-excited ...perturbation method is extended and employed in the current ...perturbation ...
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Uncertainty Analysis of Water Distribution Networks Using linked EPANET-Vertex Method
... vertex method is an approximate method used in fuzzy arithmetic based on α level cut concept and standard interval analysis which is alternative to the extension ...this method, the membership ...
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Uncertainty in geological and hydrogeological data
... One of the great and very general challenges within the hy- drological science is to understand the impact of changing scales on various process descriptions and parameter values. The average volume of hydrogeological ...
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Data Epistemologies / Surveillance and Uncertainty
... If the visibilising of uncertainty involves an ‘absent presence’, the other half of recessivity involves a kind of extension. As Žižek put it before, recessive objects are what we use to stretch our thinking, ...
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Biological Data Analysis: Error and Uncertainty
... period uncertainty and make a decision by data analyst based on investigation, to define the threshold ...expression data for visualizing the uncertainty [21], for example proteomics, genomes, ...
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Data Envelopment Analysis with Functional Data using Preference Method
... period data to a bell shape fuzzy data. Thetypes of data are numbers obtained from different periods whilethe results originated from distinctperiods may bedifferent and in this situation, it sounds ...
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