Gaussian distribution: Difference between revisions

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(New page: The '''Gaussian distribution''' (also known as the '''normal distribution''') is given by: :<math>P(x) = \frac{1}{\sigma \sqrt{2 \pi}} \exp \left( \frac{-(x -\mu)^2}{2 \sigma ^2} \right)<...)
 
m (Added applications section.)
 
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:<math>P(x) = \frac{1}{\sigma \sqrt{2 \pi}} \exp \left( \frac{-(x -\mu)^2}{2 \sigma ^2} \right)</math>
:<math>P(x) = \frac{1}{\sigma \sqrt{2 \pi}} \exp \left( \frac{-(x -\mu)^2}{2 \sigma ^2} \right)</math>


 
where <math>\mu</math> is the mean and <math>\sigma^2</math> is the variance.
==Applications in statistical mechanics==
*[[Diffusion]]
*[[Rouse model]]
==See also==
*[[Numbers with a Gaussian distribution]]
==External links==
*[http://mathworld.wolfram.com/NormalDistribution.html MathWorld Normal Distribution]
[[category: mathematics]]
[[category: mathematics]]

Latest revision as of 11:01, 7 July 2008

The Gaussian distribution (also known as the normal distribution) is given by:

where is the mean and is the variance.

Applications in statistical mechanics[edit]

See also[edit]

External links[edit]