Results 11 to 20 of about 515,753 (286)
Wind Energy, 2022 The extreme value theory has been object of engineering studies for more than a century. The analysis of extreme winds plays a key role for complex civil structures and a driving role in different stages of wind turbines lifetime.
Alessio Torrielli +2 more
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Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation
Complexity, 2021 The probability ranking conclusion is an extension of the absolute form evaluation conclusion. Firstly, the random simulation evaluation model is introduced; then, the general idea of converting the traditional evaluation method to the random simulation ...
Haitao Hao
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CHRISMED Journal of Health and Research, 2022 Context: Item response theory (IRT), is a psychometric measure of trait considering each response positioned on a continuum. Aim: Assessment of item and test information Oral Health Literacy Adults Questionnaire (OHL-AQ) using IRT in the patient visiting
Deepak Gurung +2 more
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On the Empirical Validity of Cumulative Prospect Theory: Experimental Evidence of Rank‐Independent Probability Weighting [PDF]
Econometrica, 2020 Cumulative Prospect Theory (CPT), the leading behavioral account of decisionmaking under uncertainty, avoids the dominance violations implicit in Prospect Theory (PT) by assuming that the probability weight applied to a given outcome depends on its ranking.
Bernheim, B. Douglas, Sprenger, Charles
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Independences and Partial $R$-Transforms in Bi-Free Probability [PDF]
, 2015 In this paper, we examine how various notions of independence in non-commutative probability theory arise in bi-free probability. We exhibit how Boolean and monotone independence occur from bi-free pairs of faces and establish a Kac/Loeve Theorem for bi ...
Skoufranis, Paul
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Complement-Class Harmonized Naïve Bayes Classifier
Applied Sciences, 2023 Naïve Bayes (NB) classification performance degrades if the conditional independence assumption is not satisfied or if the conditional probability estimate is not realistic due to the attributes of correlation and scarce data, respectively.
Fahad S. Alenazi +2 more
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Advances in Mechanical Engineering, 2018 Reliability analysis is a synthesis problem affected by both epistemic and aleatory uncertainties, due to the difficulties such as lack of statistical data and insufficient subjective information, which implies that the reliability analysis method has ...
Xiao-Feng Xue, Yun-Wen Feng, Cheng Lu
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Multiple utility constrained multi-objective programs using Bayesian theory
Journal of Industrial Engineering International, 2017 A utility function is an important tool for representing a DM’s preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function.
Pooneh Abbasian +2 more
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The de Finetti structure behind some norm-symmetric multivariate densities with exponential decay
Dependence Modeling, 2020 We derive a sufficient condition on the symmetric norm ||·|| such that the probability distribution associated with the density function f (x) ∝exp(−λ ||x||) is conditionally independent and identically distributed in the sense of de Finetti’s seminal ...
Mai Jan-Frederik
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Bayesian Decision Theory and Stochastic Independence [PDF]
, 2020 As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect.
Mongin, Philippe
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