Difference between revisions of "Normal correl"
| Line 2: | Line 2: | ||
[[Category:Doc Status D]] <!-- For Lumina use, do not change --> | [[Category:Doc Status D]] <!-- For Lumina use, do not change --> | ||
| − | = Normal_correl(m,s,r,y) = | + | == Normal_correl(m, s, r, y) == |
| + | Generates a normal distribution with mean «m», standard deviation «s», and correlation «r» with normally distributed value «y». In a deterministic context, it will return «m». | ||
| − | + | If «y» is not normally distributed, the result will also not be normal, and the correlation will be approximate. It generalizes appropriately if any of the parameters are arrays: The result array will have the union of the indexes of the parameters. | |
| − | + | == Library == | |
| − | + | <code>Multivariate Distributions.ana</code> | |
| − | = Library = | ||
| − | |||
| − | Multivariate Distributions.ana | ||
| − | |||
| − | |||
| + | == See Also == | ||
* [[BiNormal]] | * [[BiNormal]] | ||
* [[Gaussian]] | * [[Gaussian]] | ||
* [[Normal]] | * [[Normal]] | ||
* [[Correlate_with]] | * [[Correlate_with]] | ||
Revision as of 21:14, 18 January 2016
Normal_correl(m, s, r, y)
Generates a normal distribution with mean «m», standard deviation «s», and correlation «r» with normally distributed value «y». In a deterministic context, it will return «m».
If «y» is not normally distributed, the result will also not be normal, and the correlation will be approximate. It generalizes appropriately if any of the parameters are arrays: The result array will have the union of the indexes of the parameters.
Library
Multivariate Distributions.ana
See Also
Comments
Enable comment auto-refresher