Error function: Difference between revisions
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imported>Richard Pinch (subpages) |
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:<math>F(x;\mu,\sigma)=\frac{1}{2} \left[ 1 + \operatorname{erf} \left( \frac{x-\mu}{\sigma\sqrt{2}} \right) \right]. | :<math>F(x;\mu,\sigma)=\frac{1}{2} \left[ 1 + \operatorname{erf} \left( \frac{x-\mu}{\sigma\sqrt{2}} \right) \right]. | ||
</math> | </math>[[Category:Suggestion Bot Tag]] |
Latest revision as of 12:00, 13 August 2024
In mathematics, the error function is a function associated with the cumulative distribution function of the normal distribution.
The definition is
The complementary error function is defined as
The probability that a normally distributed random variable X with mean μ and variance σ2 exceeds x is