Results 1 to 10 of about 769,115 (166)
New Journal of Physics, 2012 Quantum mechanics violates Leggett–Garg inequalities because the operator formalism predicts correlations between different spin components that would correspond to negative joint probabilities for the outcomes of joint measurements.
Yutaro Suzuki +2 more
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Measurement: Sensors, 2022 The process of revising the Guide to the Expression of Uncertainty in Measurement (GUM) is ongoing. A successful revision must be theoretically sound, so it must be based on a recognized paradigm for scientific data analysis.
R. Willink
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The Reliability of Numerical Modeling in Remote Sensing Data Analysis [PDF]
E3S Web of Conferences, 2020 The article deals with the problem of calculating reliable estimates of empirical distribution functions under conditions of small sample and data uncertainty.
Dobronets Boris, Popova Olga
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Flexible structure learning under uncertainty
Frontiers in Neuroscience, 2023 Experience is known to facilitate our ability to interpret sequences of events and make predictions about the future by extracting temporal regularities in our environments.
Rui Wang +5 more
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Design of a new Z-test for the uncertainty of Covid-19 events under Neutrosophic statistics
BMC Medical Research Methodology, 2022 Background The existing Z-test for uncertainty events does not give information about the measure of indeterminacy/uncertainty associated with the test. Methods This paper introduces the Z-test for uncertainty events under neutrosophic statistics.
Muhammad Aslam
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Confidence Intervals of COVID-19 Vaccine Efficacy Rates
Numeracy, 2021 This tutorial uses publicly available data from drug makers and the Food and Drug Administration to guide learners to estimate the confidence intervals of COVID-19 vaccine efficacy rates with a Bayesian framework.
Frank Wang
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Logical perspectives on the foundations of probability
Open Mathematics, 2023 We illustrate how a variety of logical methods and techniques provide useful, though currently underappreciated, tools in the foundations and applications of reasoning under uncertainty.
Hosni Hykel, Landes Jürgen
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Modified entropies as the origin of generalized uncertainty principles
Physics Letters B, 2023 The Heisenberg uncertainty principle is known to be connected to the entropic uncertainty principle. This correspondence is obtained employing a Gaussian probability distribution for wave functions associated to the Shannon entropy. Independently, due to
Nana Cabo Bizet +2 more
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The importance of understanding large data, context, conventions and uncertainty in a pandemic
African Journal of Teacher Education and Development, 2022 Background: The coronavirus disease 2019 (COVID-19) pandemic has provided rich data displays informing the public about the spread of infection, risks for certain population groups and the effectiveness of vaccines. These data sources offer opportunities
Max Stephens +3 more
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Confidence intervals and other statistical intervals in metrology [PDF]
International Journal of Metrology and Quality Engineering, 2012 Typically, a measurement is regarded as being incomplete without a statement of uncertainty being provided with the result. Usually, the corresponding interval of measurement uncertainty will be an evaluated confidence interval, assuming that the ...
Willink R.
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