SmNormalDistribution

Description

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.

Properties inherited from ISmNormalDistribution

	Property name	Brief description
	Mean	The Mean property determines expected value.
	Variance	The Variance property determines variance.

Properties inherited from IDistribution

	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.

Methods inherited from IDistribution

	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:

Stat Assembly Classes