ISmBinomialDistribution

Assembly: Stat;

Namespace: Prognoz.Platform.Interop.Stat;

Description

The ISmBinomialDistribution interface enables the user to generate a sample of pseudo-random numbers from discrete binomial distribution with selected parameters.

Inheritance Hierarchy

          IDistribution

          ISmBinomialDistribution

Comments

Binomial distribution is a distribution of a number of successes in the series from n experiments, each of which is successfully completed with the p probability. The main extreme cases of binomial distribution are Poisson distribution and normal distribution.

Properties

	Property name	Brief description
	Probability	The Probability property determines success probability.
	Trials	The Trials property determines the number of trials.

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 | Binomial distribution