Results 1 to 10 of about 8,393,375 (379)
The parameter uncertainty inflation fallacy [PDF]
The Journal of Chemical Physics, 2017 Statistical estimation of the prediction uncertainty of physical models is typically hindered by the inadequacy of these models due to various approximations they are built upon. The prediction errors caused by model inadequacy can be handled either by correcting the model’s results or by adapting the model’s parameter uncertainty to generate ...
P. Pernot
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Parameter uncertainty in forecast recalibration [PDF]
Quarterly Journal of the Royal Meteorological Society, 2016 Ensemble forecasts of weather and climate are subject to systematic biases in the ensemble mean and variance, leading to inaccurate estimates of the forecast mean and variance. To address these biases, ensemble forecasts are post‐processed using statistical recalibration frameworks.
Siegert, S, Sansom, PG, Williams, R
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The uncertainty in Galactic parameters [PDF]
Monthly Notices of the Royal Astronomical Society, 2010 We reanalyse the measurements of parallax, proper motion, and line-of-sight velocity for 18 masers in high mass star-forming regions presented by Reid et al. (2009). We use a likelihood analysis to investigate the distance of the Sun from the Galactic centre, R_0, the rotational speed of the local standard of rest, v_0, and the peculiar velocity of the
Mcmillan, P, Binney, J
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Quantifying uncertainty in state and parameter estimation [PDF]
Physical Review E, 2014 Observability of state variables and parameters of a dynamical system from an observed time series is analyzed and quantified by means of the Jacobian matrix of the delay coordinates map. For each state variable and each parameter to be estimated a measure of uncertainty is introduced depending on the current state and parameter values, which allows us
Ulrich Parlitz +2 more
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Parameter Uncertainty in the Kalman--Bucy Filter [PDF]
SIAM Journal on Control and Optimization, 2019 In standard treatments of stochastic filtering one first has to estimate the values of the parameters of the model. Simply running the filter without considering the reliability of this estimate does not take into account this additional source of statistical uncertainty.
Allan, A, Cohen, S
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Simulations of noise-parameter uncertainties [PDF]
2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278), 2003 This paper reports results for uncertainties obtained from a Monte Carlo simulation of noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities.
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S-parameter uncertainty computations [PDF]
23rd European Microwave Conference, 1993, 1993 A method for computing uncertainties of measured s-parameters is presented. Unlike the specification software provided with network analyzers, the new method is capable of calculating the uncertainties of arbitrary s-parameter sets and instrument settings.
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Optimal hedging and parameter uncertainty [PDF]
IMA Journal of Management Mathematics, 2007 We explore the impact of drift parameter uncertainty in a basis risk model, an incomplete market in which a claim on a non-traded asset is optimally hedged using a correlated traded stock. Using analytic expansions for indifference prices and hedging strategies, we develop an efficient procedure to generate terminal hedging error distributions when the
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Failure Probability Under Parameter Uncertainty [PDF]
Risk Analysis, 2010 In many problems of risk analysis, failure is equivalent to the event of a random risk factor exceeding a given threshold. Failure probabilities can be controlled if a decisionmaker is able to set the threshold at an appropriate level. This abstract situation applies, for example, to environmental risks with infrastructure controls; to supply chain ...
Russell Gerrard, Andreas Tsanakas
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Measurement uncertainty in biochemical parameters
Medicine Science | International Medical Journal, 2018 Measurement uncertainty is a quality indicator that is used to show the distribution level of a test result in a laboratory. The aim of this study is to calculate the measurement uncertainty of ten biochemical parameters investigated in our laboratory and compare the obtained values with the permissible total error values (% TEa), which various ...
Dilara Kaman, Selda Telo
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