| Property name | Brief description | |
 |
Mean | The Mean property determines expected value. |
|
Variance | The Variance property determines variance. |
The SmNormalDistribution class enables the user to generate a vector of pseudo-random numbers based on normal distribution with selected average (expected value) and variance.
| Property name | Brief description | |
|
Mean | The Mean property determines expected value. |
|
Variance | The Variance property determines variance. |
| Property name | Brief description | |
|
Cumulative | The Cumulative property returns a distribution function. |
|
Density | The Density property returns density. |
|
DisplayName | The DisplayName property returns distribution name. |
|
Errors | The Errors property returns a message showing all the errors and warnings occurred during calculations. |
|
Name | The Name property returns the distribution identifier. |
|
Quantile | The Quantile property returns a quantile. |
|
Random | The Random property returns a random number corresponding to a distribution. |
|
Status | The Status property returns the calculation execution status. |
| Method Name | Brief description | |
 |
MaximumLikelihoodFitting | The MaximumLikelihoodFitting method returns estimates of maximum likelihood of distribution parameters. |
|
RandomVector | The RandomVector method returns the vector of random numbers corresponding to the distribution. |
See also: