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143 results for “Simulation methods”
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Research ArticleOpen accessEvery word 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 · 7,745 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDYAnwar Fitrianto, Lee Ceng YikWhen independent variables have high linear correlation in a multiple linear regression model, we can have wrong analysis. It happens if we do the multiple linear regression analysis based on common Ordinary Least Squares (OLS) method. In this situation, we are suggested to use ridge regression estimator. We conduct some simulation study to compare the performance of ridge regression estimator … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 3 Jan 2014 · 8,545 accessesView PDFCite
Review ArticleOpen accessIn the keywordsEducational Challenges in Computer-based Finite Element Analysis and Design of StructuresVagelis Plevris, Gro MarkesetComputer simulations and computational methods, such as the Finite Element Analysis (FEA) have become essential methodologies in science and engineering during the last decades, in a wide variety of academic fields. Six decades after the invention of the digital computer, advanced FE simulations are used to enhance and leapfrog theoretical and experimental progress, at different levels of complexity. Particularly in … …Journal of Computer Science, Vol. 14, Issue 10 · 26 Oct 2018 · 8,634 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSimulation of the Pedestrians' Influence to the Capacity of Motorised Vehicles in a RoundaboutT. Tollazzi, T. Lerher, M. ŠramlA new approach is suggested for dimensioning roundabouts with mathematical modeling of traffic flows using the discreet simulation method, and considering the statistically evaluated entry data for vehicles’ and pedestrians’ traffic flows. The simulation results are useful when determining the capacity of the roundabouts, which will function in different circumstances. The presented model derives from the expected time void in … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 6,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractAbsolute Measures of Interindividual Variation: A Simulation StudyJosé Moral-de la RubiaFour absolute measures and one relative measure of interindividual variability have been defined, together with their point and interval estimation (bootstrap and asymptotic), and an R script has been developed for their computation. However, further simulation studies are required to strengthen their methodological evaluation. This study focused on the three absolute measures with potentially better regularity conditions, Mean Interindividual Differences … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 4 Aug 2026 · 965 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithmization of Electrostatic Model for Solving the Direct Problem of ElectrographyTagirbek Gaidarbekovich Aslanov, Naur Zamirovich Ivanov, Shamil Shamil`evich Anudinov, Tatiana Vladimirovna KarlovaAn analysis of the creation and implementation of algorithms to control cardiological processes occurring in the cardiovascular system using software and hardware diagnostic systems is a required activity. This study considers ways to improve the methods of medical data processing using electronic diagnostic systems, relying on existing methods of mathematical simulation of human body states. This study describes the development … …Journal of Computer Science, Vol. 21, Issue 4 · 7 Mar 2025 · 5,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanism Analysis of Artemisinin and Artesunate as Lung Cancer Therapy Agents Through in Silico MethodDidik Harmoko, Vivitri Dewi Prasasty, Adi YulandiSeveral in vitro studies have focused on the ability of artemisinin and its derivatives to suppress lung cancer cells, but there are still many biological processes and mechanisms, such as the interactions between the active compounds (ligands) and receptors that are not well understood and require further research. Drug targeting for lung cancer will be more precise and the inhibition … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 15 Feb 2024 · 6,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralized Statistical Inference for Quantiles of Two-Parameter Gamma DistributionMalwane AnandaGamma distribution is a widely used distribution to analyze data in many disciplines such as hydrology, meteorology, environmental monitoring, lifetime testing and reliability. In this study, we look at the statistical inference for the quantiles of two-parameter gamma distribution. The testing and estimation of gamma quantile are required especially in areas such as flood frequency analysis and life testing. For … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 12 Feb 2024 · 5,915 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Option Pricing with Gaussian Mixture Distributions and Mixed CopulasJimbo Henri Claver, Tatanfack Emerson, Shu FelixRecently, it has been reported that the hypothesis proposed by the classical black scholes model to price multivariate options in finance were unrealistic, as such, several other methods have been introduced over the last decades including the copulas methods which uses copulas functions to model the dependence structure of underlying assets. However, the previous work did not take into account … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 3 Apr 2023 · 6,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Analysis of Longitudinal Ordinal Data Using Non-Identifiable Multivariate Probit ModelsXiao ZhangMultivariate probit models have been explored foranalyzing longitudinal ordinal data. However, the inherent identification issuein multivariate probit models requires the covariance matrix of the underlyinglatent multivariate normal variables to be a correlation matrix and thushinders the development of efficient Bayesian sampling methods. It is knownthat non-identifiable models may produce Markov Chain Monte Carlo (MCMC)samplers with better convergence and mixing than … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 14 Nov 2022 · 6,047 accessesView PDFCite