Results 41 to 50 of about 185,877 (166)
A COMPARISON OF BOOTSTRAP AND MONTE CARLO APPROACHES TO TESTING FOR SYMMETRY IN THE HOUCK'S MODEL [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2013 The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. The results of bootstrap and Monte Carlo simulations indicate that the power of the Houck's test for asymmetry depends on sample size, level of asymmetry ...
Henry de-Graft Acquah
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Comparation of nonuniform and uniform Monte - Carlo Searching
MATEC Web of Conferences, 2018 Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo ...
Handrik Marián +3 more
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Phase space sampling with Markov Chain Monte Carlo methods [PDF]
EPJ Web of ConferencesThe efficient exploration of the high-dimensional and multi-modal phase space of scattering events at high-energy particle colliders presents a severe computational challenge. We here discuss the application of Markov Chain Monte Carlo (MCMC) techniques,
La Cagnina Salvatore +4 more
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Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds
Campbell Systematic Reviews, 2017 Research syntheses and meta‐analyses have been widely used to combine primary applied research studies. To date, there has been little work applying these methods to combine Monte Carlo studies, however narrative reviews are common to evaluate the Monte ...
Brandon LeBeau
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The paradigm of complex probability and Monte Carlo methods
Systems Science & Control Engineering, 2019 In 1933, Andrey Nikolaevich Kolmogorov established the system of five axioms that define the concept of mathematical probability. This system can be developed to include the set of imaginary numbers and this by adding a supplementary three original ...
Abdo Abou Jaoude
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Definition of Maintenance Policies in Power Systems Using a Sequential Monte Carlo
U.Porto Journal of Engineering, 2015 This paper reports an application of a simulationmethod called chronological Monte Carlo to evaluate power systems reliability. The Monte Carlo methods are, nowadays, the most widely used method for the estimation of reliability indices.
João Silva
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Optimized monte carlo methods [PDF]
, 2008 I discuss optimized data analysis and Monte Carlo methods. Reweighting methods are discussed through examples, like Lee-Yang zeroes in the Ising model and the absence of deconfinement in QCD. I discuss reweighted data analysis and multi-hystogramming. I introduce Simulated Tempering, and as an example its application to the Random Field Ising Model.
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Application of Monte Carlo simulation methods in risk management
Journal of Business Economics and Management, 2007 The paper deals with Monte Carlo simulation method and its application in Risk Management. The author with the help of MATLAB 7.0 introduces new modification of Monte Carlo algorithm aimed at fast and effective calculation of financial organization's ...
Alexander Suhobokov
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Multilevel Monte Carlo methods for ensemble variational data assimilation [PDF]
Nonlinear Processes in GeophysicsEnsemble variational data assimilation relies on ensembles of forecasts to estimate the background error covariance matrix B. The ensemble can be provided by an ensemble of data assimilations (EDA), which runs independent perturbed data assimilation and ...
M. Destouches +10 more
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Monte Carlo and kinetic Monte Carlo methods
, 2009 This article reviews the basic computational techniques for carrying out multi-scale simulations using statistical methods, with the focus on simulations of epitaxial growth. First, the statistical-physics background behind Monte Carlo simulations is briefly described.
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