Open Mathematics · 2019 · 25 citations · 15 references
ComputingComputational EngineeringComputational PhysicsScientific ComputingStatistical ComputingApproximation MethodsError EstimationGaussian ProcessesNumerical IntegrationAccuracyFunction Approximation ErrorIntegral EstimationNumerical Methods For Integral Equations
Abstract In this work, we propose to approximate the Gaussian integral, the error function and the cumulative distribution function by using the power series extender method (PSEM). The approximations proposed in this paper present a high accuracy for the complete domain [–∞,∞]. Furthermore, the approximations are handy and easy computable, avoiding the application of special numerical algorithms. In order to show its high accuracy, three case studies are presented with applications to science and engineering.
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Kristopher J. Preacher, Patrick J. Curran, Daniel J. Bauer · Journal of Educational and Behavioral Statistics · 2006 · 5K citations
R. Byron Bird · Applied Mechanics Reviews · 2002 · 1.1K citations
J. F. Gómez‐Aguilar, H. Yépez-Martínez, J. Tórres-Jiménez et al. · Advances in Difference Equations · 2017 · 110 citations · Full text
Natural Sciences, Mathematics, Computational Fluid Dynamics +12