Results 21 to 30 of about 615,736 (341)
Joint probability distributions of observables in quantum mechanics [PDF]
Studia Mathematica, 1961 К. Урбаник
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Applied Sciences, 2021 This paper studied the joint probability distribution of wind speed, wind direction, and wind height. The measured wind field data of a coastal plain in Zhongshan city, Guangdong Province, China, were taken as the research object.
Xiaoyue Gao +4 more
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Atmosphere, 2022 Accurate feature identification of drought disaster events is required for proper risk management in agriculture. This study improved the crop water deficit index (CWDI) by including the daily meteorological, crop development stage, soil moisture content,
Shujie Zhang +5 more
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New bivariate and multivariate log-normal distributions as models for insurance data
Results in Applied Mathematics, 2022 The body of most multivariate financial data sets can be well modeled by log-normal distributions. Yet not many multivariate log-normal distributions are available in the literature.
Saralees Nadarajah, Jiahang Lyu
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Joint frequency analysis of rainfall and precipitation concentration index (PCI) at Birjand and Tabas meteorological stations, South Khorasan Province, Iran [PDF]
Water Harvesting Research, 2021 In this study, copula functions and precipitation concentration index were used for the joint frequency analysis of the conditional probability of rainfall-rainfall and PCI-PCI at Birjand and Tabas meteorological stations in eastern Iran.
Mohammad Nazeri Tahroudi +1 more
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Modeling Insurance Claim Distribution via Mixture Distribution and Copula [PDF]
تحقیقات مالی, 2017 This paper analyses whether joint probability distribution function of losses due to different exposures covered under the same policy could be modeled in an appropriate manner via mixture distribution proposed and copula concept.
Saeed Bajalan +2 more
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Idealized models of the joint probability distribution of wind speeds [PDF]
Nonlinear Processes in Geophysics, 2018 The joint probability distribution of wind speeds at two separate locations in space or points in time completely characterizes the statistical dependence of these two quantities, providing more information than linear measures such as correlation. In
A. H. Monahan
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How to find a joint probability distribution of minimum entropy (almost) given the marginals [PDF]
International Symposium on Information Theory, 2017 Given two discrete random variables X and Y, with probability distributions p = (p1, …, pn) and q = (q1, …, qm), respectively, denote by C(p, q) the set of all joint distributions of X and Y that have p and q as marginals.
F. Cicalese, L. Gargano, U. Vaccaro
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Wind-ice Joint Probability Distribution Analysis based on Copula Function
Journal of Physics: Conference Series, 2020 Taking the wind speed and ice thickness field measurement data in Southwest China during November 2016 to March 2018 as analytical sample, the probability distribution of the wind speed and ice intensity were analyzed and fitted by using Gumbel ...
Fengli Yang +3 more
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Optimal Formula about Ordering the Random Variables Problem [PDF]
Eurasian Journal of Science and Engineering, 2018 In this paper, we propose an algorithm about ordering the random variables into order statistics and find the simple formula of multi order statistics joint probability distribution and endeavor to prove it mathematically.
Ivan S. Latif
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