Results 211 to 220 of about 26,410,412 (273)
Uncertainty propagation in satellite InSAR data analysis for structural health monitoring
Pier Francesco Giordano +4 more
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Exploratory modeling and analysis: a promising method to deal with deep uncertainty
B. Agusdinata
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Uncertainty analysis of thermoreflectance measurements
Review of Scientific Instruments, 2016We derive a generally applicable formula to calculate the precision of multi-parameter measurements that apply least squares algorithms. This formula, which accounts for experimental noise and uncertainty in the controlled model parameters, is then used to analyze the uncertainty of thermal property measurements with pump-probe thermoreflectance ...
Jia Yang, Elbara Ziade, Aaron J. Schmidt
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Instrumentation, Measurements, and Experiments in Fluids, 2016
E. Rathakrishnan
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E. Rathakrishnan
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Reviews on uncertainty analysis of wind power forecasting
, 2020: Wind power forecasting (WPF) brings about decision risk to power system operation, because of its certain deviations. The uncertainty analysis of wind power forecasting (WPFUA) or wind power probabilistic forecasting (WPPF) provides probabilistic and ...
Jie Yan +4 more
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Uncertainty analysis of composite structures [PDF]
A two-phase approach and a computational procedure are presented for predicting the variability in the nonlinear response of composite structures associated with variations in the geometric and material parameters of the structure. In the first phase, hierarchical sensitivity analysis is used to identify the major parameters, which have the most effect
Jeanne M. Peters +2 more
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Uncertainty analysis of reflectance colorimetry
SPIE Proceedings, 2003AbstractThe uncertainty associated with the quantitative description of the color of an object is often necessary for determining the acceptability of that object for its intended application. Uncertainties are also required for establishing the traceability of a measurement to a national metrology institute.
Maria E. Nadal, Edward A. Early
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Uncertainty and Imprecision: Modelling and Analysis [PDF]
Summary: Any statistical analysis or decision analysis contains numerical inputs of which we are unsure. Some of our uncertainty arises from physical randomness which we can model in various ways, ideally through probability. Some uncertainty relates to judgemental estimates of quantities about which we may be unsure in many different respects.
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