| Property name | Brief description | |
 |
Mean | The Mean property determines expected value. |
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Variance | The Variance property determines variance. |
Assembly: Stat;
The ISmNormalDistribution interface enables the user to generate vector of pseudo-random numbers based on normal distribution with selected average of distribution (expected value) and variance.
ISmNormalDistribution
Normally distributed random values can be modeled by means of the Box-Muller transform that transforms evenly distributed random values into standard normally distributed random values.
| Property name | Brief description | |
|
Mean | The Mean property determines expected value. |
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Variance | The Variance property determines variance. |
| Property name | Brief description | |
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Cumulative | The Cumulative property returns a distribution function. |
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Density | The Density property returns density. |
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DisplayName | The DisplayName property returns distribution name. |
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Errors | The Errors property returns a message showing all the errors and warnings occurred during calculations. |
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Name | The Name property returns the distribution identifier. |
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Quantile | The Quantile property returns a quantile. |
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Random | The Random property returns a random number corresponding to a distribution. |
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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. |
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RandomVector | The RandomVector method returns the vector of random numbers corresponding to the distribution. |
See also:
Stat Assembly Interfaces | Normal distribution