ISmBinomialDistribution

Assembly: 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