ISmPoissonDistribution

Assembly: Stat;

Description

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

Inheritance Hierarchy

          IDistribution

          ISmPoissonDistribution

Comments

Poisson distribution is a discrete distribution that is one of important extreme cases of binomial distribution.

Properties

  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 Interfaces | Poisson distribution