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Simply Explicitly Invertible Approximations to 4 Decimals of Error Function and Normal Cumulative Distribution Function

机译：简单明确可逆近似到4个误差小数函数和正态累积分布函数

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Soranzo, A.; Epure, E.;
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年度 2012
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正文语种 {"code":"en","name":"English","id":9}
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1. Very simply explicitly invertible approximations of normal cumulative and normal quantile function [J] . Baharuddin Bin Aris, Maizah Hura Ahmad, Mohd Shafie Rosli Applied mathematical sciences . 2014,第87期

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2. Approximation to the cumulative normal distribution using hyperbolic tangent based functions [J] . Beong In Yun Journal of the Korean Mathematical Society . 2009,第6期

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3. On HPM Approximations for the Cumulative Normal Distribution Function [J] . V. K. Shchigolev Universal Journal of Computational Mathematics . 2019,第1期

机译：关于累积正态分布函数的HPM逼近
4. APPROXIMATION OF THE CUMULATIVE DISTRIBUTION FUNCTION OF THE BIVARIATE TRUNCATED NORMAL DISTRIBUTION [C] . Arvid C. Johnson, Binod K. Dhungel Annual meeting of the Decision Sciences Institute . 2003

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5. Approximation of the distribution function for the standard bivariate normal [D] . Jantaravareerat, Montira 1998

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6. Approximations for the inverse cumulative distribution function of the gamma distribution used in wireless communication [O] . Hilary Okagbue, Muminu O. Adamu, Timothy A. Anake 2020

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7. A New Proof for Winitzki's Approximation of Normal Cumulative Distribution Function [O] . Shahram Mansouri 2017

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8. CDC 6600 Codes for the Error Function, Cumulative Normal and Related Functions [R] . D. E. Amos, S. L. Daniel 1972

机译：用于错误功能，累积正常和相关功能的CDC 6600代码

Simply Explicitly Invertible Approximations to 4 Decimals of Error Function and Normal Cumulative Distribution Function

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