Results 21 to 30 of about 97,680 (303)
Journal of Applied Mathematics, 2014 An extending Borgonovo’s global sensitivity analysis is proposed to measure the influence of fuzzy distribution parameters on fuzzy failure probability by averaging the shift between the membership functions (MFs) of unconditional and conditional failure
Lei Cheng, Zhenzhou Lu, Luyi Li
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Conditional probability distributions in the wide sense [PDF]
Proceedings of the American Mathematical Society, 1957 Introduction. Doob [3, p. 29],2 has shown that if Q= [U, Al, u] is a probability space (i.e. cL is a o-field of subsets of a set U and u is a countably additive non-negative measure defined on 'U, normalized by the condition u(U) =1) and cto is a o-subfield of cl, and y is an n-dimensional random variable mapping U into an n-dimensional Euclidean space
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Journal of Hydrology and Hydromechanics, 2018 Based on the data series of the annual reference crop evapotranspiration (ET0) and the amount of irrigation water (IR) from 1970 to 2013 in the Luhun irrigation district, the joint probability distribution of ET0 and IR is established using the Gumbel ...
Zhang Jinping, Li Jiayi, Shi Xixi
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SHS Web of Conferences, 2023 In this paper, Markov chain is used to model the reproduction of the fixed finite population, and use binomial distribution to discuss the probability of gen inheritance between generations population genes and establish transfer matrix ,using ...
Zhai Qian
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Water Science and Engineering, 2013 The joint probability distribution of wind speed and significant wave height in the Bohai Bay was investigated by comparing the Gumbel logistic model, the Gumbel-Hougaard (GH) copula function, and the Clayton copula function.
Xiao-chen Yang, Qing-he Zhang
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Journal of Materials Research and Technology, 2023 The transfer learning model improves accuracy by reducing the marginal and conditional probability distribution discrepancy between source and target domains.
Yuan Liu, Shi-Zhong Wei, Tao Jiang
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Geometric branching reproduction Markov processes
Modern Stochastics: Theory and Applications, 2020 We present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution.
Assen Tchorbadjieff, Penka Mayster
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Multiscale Data-Driven Energy Estimation and Generation
Physical Review X, 2023 We develop a multiscale approach to estimate high-dimensional probability distributions. Our approach applies to cases in which the energy function (or Hamiltonian) is not known from the start.
Tanguy Marchand +3 more
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Corrigendum: Characterizing a Joint Probability Distribution by Conditionals [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1999 With regard to the theorem in the paper, the second part is, in general, false, and the proof, given in Section 4.2, is in error. Dr K. W. Ng and Professor A. P. Dawid have pointed out the following simple counter-example for two binary random variables x,, x2: P(0, 0) = 0.3, P(0, 1) = 0.2, P(1, 0) = 0.2 and P(1, 1) = 0.3.
A. Gelman, T. P. Speed
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Energy Reports, 2023 The intermittency of distributed renewable energy resources (DRERs) and the fluctuation of load demand make the supply–demand scenario of active distribution systems significantly different from that of traditional radial distribution systems.
Yuxin Ye +5 more
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