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83 articles for “Monte Carlo”
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Research ArticleOpen accessPhrase in the titlePersian Curve Versus Monte Carlo MethodAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranThe Monte Carlo Simulation method is a powerfultool for solving problems including random variables. The basic idea toimplement a Monte Carlo simulation is to first generate samples of randominputs from their assumed distributionfunctions and then perform a deterministic calculation on the generated randominputs, based on mathematical modeling of the system, to obtain output results.An early version of Monte Carlo simulation … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 6 Jul 2021 · 8,300 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDynamic Reliability Analysis of Steel Moment Frames Using Monte Carlo TechniqueMajid Mahjoor Lotf AabadiDesigning of structures is the function of operation of them. However, operation of the structures depends on different uncertainties. In practical cases, uncertain parameters are simplified and formulated to certain parameters which are implemented in the designing approach. In this investigation, different structural parameters which bear with uncertainties including loading conditions, strength of materials and geometry of the structural elements … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 17 Jun 2019 · 7,681 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEvaluation of Subset Matching Methods: Evidence from a Monte Carlo Simulation StudyLateef Amusa, Temesgen Zewotir, Delia NorthIn the absence or infeasibility of experiments, matching methods have increasingly been used in making causal claims using observational data. This paper conducts a Monte Carlo simulation study, based on a household panel survey, to compare the performance of some widely used subset matching methods. The methods include the propensity score caliper matching, Mahalanobis distance matching, and coarsened exact matching. … …American Journal of Applied Sciences, Vol. 16, Issue 3 · 11 Apr 2019 · 7,740 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEfficient Monte Carlo Algorithm Using Antithetic Variate and Brownian Bridge Techniques for Pricing the Barrier Options with Rebate PaymentsHasan AlzubaidiThe down-and-out call barrier option with rebate payment on dividend-paying stock is simulated using a new version of the Monte Carlo algorithm. The standard Monte Carlo method for simulating such an option suffers from two sources of errors: Hitting time error inherent from time stepping and the Monte Carlo statistical error. We present a modified version of Monte Carlo method … …Journal of Mathematics and Statistics, Vol. 12, Issue 1 · 22 Feb 2016 · 8,259 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAssessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents SeaKrzysztof Jan Zieba, Matthias Daszinnies, Benjamin Emmel et al.The Cenozoic uplift and erosion is often believed to be a major risk factor in hydrocarbon exploration in the Barents Sea causing petroleum redistribution and leakage from filled traps. Therefore, the estimation of erosion amount is an important but often underrepresented task in the basin modeling procedure. The assessment of erosion magnitudes and spatial distribution by geochemical and thermo chronological … …Current Research in Geoscience, Vol. 4, Issue 2 · 29 Apr 2015 · 8,318 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDetention Pond Sediment Accumulation Prediction using Monte Carlo SimulationSupiah Shamsudin, Abd Rashid Mohd Darom, Irma Norazurah Mohamad, Azmi Ab RahmanProblem statement: A study in Malaysia had been carried out to predict the sediment accumulation in urban detention ponds. Suspended sediment is pollutant of primary concern to the river that results in adverse environmental effect. Detention pond becomes a practical approach to this problem. Suspended sediment that settled in stormwater detention pond, can bring effect to the detention pond functions. … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 30 Jan 2012 · 7,528 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleReal-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit WearRodolfo Wilvert Reitz, Paulo José de Freitas FilhoMinimization of the cost of drilling an oil well is primarily achieved by reducing the operation completion time, which in turn can be achieved by increasing the Rate of Penetration (ROP). The ROP is the result of a combination of factors, such as lithological formation, operational parameters and bit wear. This paper addresses bit wear during drilling, using a method … …Journal of Computer Science, Vol. 14, Issue 2 · 27 Feb 2018 · 8,210 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEstimation under Multicollinearity: A Comparative Approach Using Monte Carlo MethodsD. A. Agunbiade, J. O. IyaniwuraProblem statement: A comparative investigation was done experimentally for 6 different Estimation Techniques of a just-identified simultaneous three-equation econometric model with three multi-collinear exogenous variables. Approach: The aim is to explore in depth the effects of the problems of multicollinearity and examine the sensitivity of findings to increasing sample sizes and increasing number of replications using the mean and total … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,531 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMonte Carlos Simulation Approach to Population Dynamics of Sickle Cell AnaemiaOlumuyiwa O. Akanbi, Sunday O. Edeki, Olumuyiwa A. AgboladeSickle Cell Anaemia (SCA) is a serious inherited blood disorder where the red blood cells, which carry oxygen around the body develop abnormally. The mathematical dynamics of the disease remain poorly understood, as such this paper investigates the mathematical inheritance pattern of the disease by the application of Monte Carlos simulation technique which is a complementary approach to physical simulation … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 15 Mar 2017 · 7,508 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleBAYESIAN MODEL AVERAGING WITH MARKOV CHAIN MONTE CARLO FOR CALIBRATING TEMPERATURE FORECAST FROM COMBINATION OF TIME SERIES MODELSHeri Kuswanto, Mega Rahmatia SariGlobal warming is an important issue related to the climate and weather forecast. It is shown by significantly increasing the atmospheric temperature level. Hence, improving the forecast accuracy of temperature is an important issue. The forecast is commonly done by performing a deterministic forecast meaning that the system will generate a point forecast without taking into account the uncertainty induced … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 29 Nov 2013 · 7,078 accessesView PDFCite