Results 301 to 310 of about 1,270,069 (328)
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2003
A conventional engineering education is based on the principle of “accuracy”. Engineers have been recognizing and perceiving the accuracy as one of their key principles ever since they were students. Any deviations are deemed undesirable and thus become as if non-existent in the psychological sense, though everyone realizes there can be no fault-free ...
Anatoly V. Perelmuter +1 more
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A conventional engineering education is based on the principle of “accuracy”. Engineers have been recognizing and perceiving the accuracy as one of their key principles ever since they were students. Any deviations are deemed undesirable and thus become as if non-existent in the psychological sense, though everyone realizes there can be no fault-free ...
Anatoly V. Perelmuter +1 more
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Pulse parameter uncertainty analysis
Metrologia, 2002A detailed uncertainty analysis is presented for the pulse parameter measurement service of the National Institute of Standards and Technology (NIST, USA). It relates to the new pulse parameter measurement and extraction processes. Uncertainties for pulse amplitude, transition duration, overshoot and undershoot (preshoot) are given.
N G Paulter, D R Larson
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Uncertainty of Arrhenius parameters
International Journal of Chemical Kinetics, 2011AbstractChemical kinetics databases for many elementary gas‐phase reactions provide the recommended values of the Arrhenius parameters, the temperature range of their validity, and the temperature dependence of the uncertainty of the rate coefficient k.
Tibor Nagy, Tamás Turányi
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Uncertainty Propagation Through Network Parameter Conversions
IEEE Transactions on Instrumentation and Measurement, 2008This paper describes a simplified procedure to obtain the uncertainties when converting a set of network parameters to another form. The method is based on a general matrix transformation technique. The technique relies on a transformation matrix that describes the relation between two network parameter definitions and two matrix equations.
J. Stenarson, K. Yhland
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Parameter Uncertainties Characterisation for Linear Models.
IFAC Proceedings Volumes, 2006Abstract Parameter estimation mainly consists in characterising a parameter set consistent with measurements, the model and the equation error description. The problem to be solved is that of finding the set of admissible parameter values corresponding to an admissible error. The uncertainties must be treated by a global analysis of the problem: both
Jose Ragot, Didier Maquin, Olivier Adrot
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Uncertainty of Hydraulic Parameters
Journal of Hydraulic Engineering, 1996Reliability analysis and other probabilistic techniques are becoming increasingly important tools in hydraulic modeling and decision making. Probabilistic and reliability analyses are based on knowledge of the underlying parameter uncertainties. Hydraulic variables, such as roughness coefficient, channel slope, and critical shear stress, common to many
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Uncertainty of Parameter Estimation
IFAC Proceedings Volumes, 1985Abstract A procedure is proposed for expressing and handling uncertainties of parameter estimation. It is based on the least squares method and is conform with the German draft standard DIN 1319 Part 4 for the treatment of uncertainties in the evaluation of measurements.
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Recursive utility and parameter uncertainty
Journal of Economic Theory, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Al-Najjar, Nabil I., Shmaya, Eran
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Risk, Parameter Uncertainty, and Incentives
SSRN Electronic Journal, 2010A central prediction of principal-agent theory is the negative trade-off between risk and incentives. However, the empirical evidence is inconclusive. On the other hand, little attention has been paid to parameter uncertainty in the principal-agent literature, despite its important role in explaining many phenomena in various markets. In this paper, we
Si Li, Bin Wei, Jianfeng Yu
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Prediction with Parameter Uncertainty
1992The model is the same one that introduced the Bayesian paradigm in Chapter 2. Observations have been obtained from a random variable with known general form, but unknown parameters. Of interest is the value of a future observation whose distribution also depends on these parameters. Of course, this is the traditional actuarial problem. The observations
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