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GEMDAT: A Python Toolkit for Site-Resolved Diffusion Analysis in Solid-State Molecular Dynamics
Lavrinenko AK +8 more
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THE MARGINAL PROBABILITY DENSITY FUNCTIONS OF WISHART PROBABILITY DENSITY FUNCTION
Far East Journal of Theoretical Statistics, 2018Summary: Here we directly evaluate an \(\begin{pmatrix}{m+1}\\{2}\end{pmatrix}\)-dimensional integral \[ \int_{\mathbf{S}_{m}>0}|\mathbf{S}_m|^{\frac{n-m}{2}-1}\exp(-\mathrm{tr}(\mathbf{S}_{\mathbf{m}}))\mathrm{d}\mathbf{S}_m \] as an integral representation of Wishart multivariate gamma function \(\Gamma_m\left(\frac{n-1}{2}\right)\), by deriving the ...
Yongshun Xiao
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Progress in probability density function methods for turbulent reacting flows
Progress in Energy and Combustion Science, 2010D. Haworth
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Energy, 2018
Penetration of renewable resources into power systems, such as wind and solar power, has significantly grown the complexity and level of uncertainty in both power generation and demand sides, which are highly desirable to exploit more advanced methods to
Yaoyao He, Yaya Zheng
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Penetration of renewable resources into power systems, such as wind and solar power, has significantly grown the complexity and level of uncertainty in both power generation and demand sides, which are highly desirable to exploit more advanced methods to
Yaoyao He, Yaya Zheng
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Probability and Density Functions
2021This chapter deals with discussion of important probability density functions used in practice.
Chandrasekhar Putcha +2 more
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Navier-stokes probability density function
European Journal of Mechanics - B/Fluids, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Minotti, F. O., Ferro Fontán, C.
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2019
Abstract This chapter builds on probability distributions. Its focus is on general concepts associated with probability density functions (pdf’s), which are distributions associated with continuous random variables. The continuous uniform and normal distributions are highlighted as examples of pdf’s.
Therese M. Donovan, Ruth M. Mickey
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Abstract This chapter builds on probability distributions. Its focus is on general concepts associated with probability density functions (pdf’s), which are distributions associated with continuous random variables. The continuous uniform and normal distributions are highlighted as examples of pdf’s.
Therese M. Donovan, Ruth M. Mickey
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Statistical Probability Density Functions
2003Abstract Most structured finance analytical work will involve the selection of random numbers from given probability distributions. Consequently, the following is a brief overview of the distributions most likely to be encountered in a typical structured credit analysis.
Sylvain Raynes, Ann Rutledge
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An asymmetric probability density function
Physics of Fluids, 2023A probability density or distribution function of turbulence has been thought to be symmetric due to the symmetry of the partial differential equations from the first principles. However, the experimental data have been shown otherwise by a so-called Taylor correlation function, and this is an unresolved issue.
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