Results 51 to 60 of about 100,335 (213)
Classification of the State of Manufacturing Process under Indeterminacy
Mathematics, 2019 In this paper, the diagnosis of the manufacturing process under the indeterminate environment is presented. The similarity measure index was used to find the probability of the in-control and the out-of-control of the process. The average run length (ARL)
Muhammad Aslam, Osama Hasan Arif
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Preface to the Special Issue on Probability and Stochastic Processes with Applications to Communications, Systems and Networks, 2nd Edition [PDF]
Probability theory and stochastic processes are fundamental mathematical tools that play a critical role in understanding and modeling randomness and uncertainty in various fields, including communications, systems engineering, and network design [...
Alexander Bochkov, Gurami Tsitsiashvili
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Conditional density estimation with class probability estimators [PDF]
, 2009 Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estimate is available, then prediction intervals can be derived from it.
Remco R. Bouckaert +3 more
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SHS Web of Conferences, 2017 The article deals with the problem of assessing and forecasting the level of financial and economic enterprise stability through the integrated indicators development. Currently, many enterprises operate under variable external environment, which imposes
Khudyakova T.A., Shmidt A.V.
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Algorithms, 2020 Approximation and uncertainty quantification methods based on Lagrange interpolation are typically abandoned in cases where the probability distributions of one or more system parameters are not normal, uniform, or closely related distributions, due to ...
Dimitrios Loukrezis, Herbert De Gersem
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Uncertainty analysis of large risk assessment models with applications to the railway safety and standards board safety risk model [PDF]
, 2009 Probabilistic risk analysis aims to assess the safety risk of a system so that actions can then be taken to improve safety. Uncertainty however always exists in modelling. For more informed decision making, uncertainty in the outputs of the model must be
Cheng, Doasheng, Cheng, Daosheng
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"Irreversible Investment and Knightian Uncertainty" [PDF]
When firms decide about irreversible investment, they may not have perfect confidence about their perceived probability measure describing future uncertainty.
Hiroyuki Ozaki, Kiyohiko G. Nishimura
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Coordination under threshold uncertainty in a public goods game [PDF]
We explored experimentally how threshold uncertainty affects coordination success in a threshold public goods game. Whereas all groups succeeded in providing the public good when the exact value of the threshold was known, uncertainty was generally ...
Reif, Christiane +4 more
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A practical and efficient approach for Bayesian quantum state estimation
New Journal of Physics, 2020 Bayesian inference is a powerful paradigm for quantum state tomography, treating uncertainty in meaningful and informative ways. Yet the numerical challenges associated with sampling from complex probability distributions hampers Bayesian tomography in ...
Joseph M Lukens +3 more
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Eventology versus contemporary theories of uncertainty [PDF]
The development of probability theory together with the Bayesian approach in the three last centuries is caused by two factors: the variability of the physical phenomena and partial ignorance about them.
Vorobyev, Oleg
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