SmPoissonDistribution

Description

The SmPoissonDistribution class enables the user to generate a sample of pseudo-random integer numbers from the discrete Poisson distribution with specified intensity of events.

Properties inherited from ISmPoissonDistribution

	Property name	Brief description
	Lambda	The Lambda property determines event intensity value.

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