Results 11 to 20 of about 100,335 (213)
Predictive uncertainty assessment in flood forecasting using quantile regression
H2Open Journal, 2023 Floods and their associated impacts are topics of concern in land development planning and management, which call for efficient flood forecasting and warning systems.
Amina M. K., Chithra N. R
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An Introduction to Probability, Statistics, and Uncertainty [PDF]
, 2017 Processes that are not fully understood, and whose outcomes cannot be precisely predicted, are often called uncertain. Most of the inputs to, and processes that occur in, and outputs resulting from, water resource systems are not known with certainty.
Daniel P. Loucks, Eelco van Beek
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Statistical Uncertainty Quantification of Probability Tables for Unresolved Resonance Cross Sections
EPJ Web of Conferences, 2023 The probability table method is an important method to treat the self-shielding effect in the unresolved resonance region. A probability table is generated by using many “ladders” that represent pseudo resonance structures. This study developed a quantification method of the statistical uncertainty of a probability table. The product of the probability
Kenichi Tada, Tomohiro Endo
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Neglect Of Parameter Estimation Uncertainty Can Significantly Overestimate Structural Reliability
Transactions of the VŠB: Technical University of Ostrava, Civil Engineering Series, 2015 Parameter estimation uncertainty is often neglected in reliability studies, i.e. point estimates of distribution parameters are used for representative fractiles, and in probabilistic models. A numerical example examines the effect of this uncertainty on
Rózsás Árpád, Sýkora Miroslav
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A New Neutrosophic Confidence Density Model for Statistical Effectiveness Evaluation in Highway and Bridge Project Internal Control [PDF]
Neutrosophic Sets and SystemsThis paper proposes a new mathematical model in the field of neutrosophic probability and statistics, called the Neutrosophic Confidence Density Function (NCDF).
Shuai Huang, Kesong Zhu
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Geodesic Monte Carlo on Embedded Manifolds [PDF]
, 2013 Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing geodesic flows
Simon Byrne +5 more
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Application of elements of probability theory and mathematical techniques in crop production [PDF]
BIO Web of ConferencesThe paper is concerned with key aspects of applying probability theory and mathematical techniques to crop production. Special attention is given to simulation of seeding planning using stochastic processes, risk assessment by means of probability ...
Kondrashova Elizaveta +1 more
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Yantu gongcheng xuebao, 2017 The inherent variability of soil properties has currently received considerable attention in slope reliability analysis. However, the geological uncertainty is often ignored in analysis.
DENG Zhi-ping 1,2, LI Dian-qing 1,2, CAO Zi-jun 1,2, PHOON Kok Kwang 1,2
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Robust spectrum sensing under noise uncertainty for spectrum sharing
ETRI Journal, 2019 Spectrum sensing plays an important role in spectrum sharing. Energy detection is generally used because it does not require a priori knowledge of primary user, (PU) signals; however, it is sensitive to noise uncertainty.
Chang‐Joo Kim +3 more
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IEEE Access, 2019 An information system is a database that represents relationships between objects and attributes. A set-valued information system is the generalized model of a single-valued information system.
Xiaoliang Xie +3 more
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