
probability - Why is the error function defined as it is?
More recent Internet mentions of the use of erf e r f or erfc e r f c for solving differential equations include short-circuit power dissipation in electrical engineering, current as a function of time in …
1764076856_810_709823_hp_skh_2025 - Economic Research …
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Approximating the error function erf by analytical functions
Aug 15, 2016 · My question is if I can find, or if there are known, substitutions for this non-elementary function in terms of elementary ones. In the sense above, i.e. the approximation is …
Global value chains and sustainable development
Apr 15, 2025 · At the 31 st ERF annual conference later this month, a special session will focus on global value chains (GVCs) from the perspective of sustainable development in the Middle …
How are the Error Function and Standard Normal distribution …
Well, there's a definition of erf and a definition of the Normal CDF.. The relations, derivable by some routine calculations, are shown as to how to convert between them, and how to convert …
derivative of error function - Mathematics Stack Exchange
Apr 23, 2016 · How can I calculate the derivatives $$\\frac{\\partial \\mbox{erf}\\left(\\frac{\\ln(t)-\\mu}{\\sqrt{2}\\sigma}\\right)}{\\partial \\mu}$$ and $$\\frac{\\partial ...
Taylor Expansion of Error Function - Mathematics Stack Exchange
e−t2 e t 2 to find the Taylor expansion of the ERF function is found at Robert Ghrist/UPenn's Calculus wiki.
How to accurately calculate the error function …
The naïve (alternating) Maclaurin series is not really that numerically sound; I had already mentioned in my answer the modified series that has much better properties for computing …
Derivative of the error function - Mathematics Stack Exchange
Feb 2, 2019 · I got stuck with the derivative of the following function: $$\operatorname {erf} (\frac {\operatorname {logit} (\theta)-\mu} {\sqrt {2\sigma^2}})$$ with respect to $\theta$. Are there …
A bound for error function - Mathematics Stack Exchange
Apr 27, 2016 · But if you're talking about large x x that's the best bound on erf(x) e r f (x) that you're going to get. Seems to me what matters is how small 1 − erf(x) 1 e r f (x) is for large x x.