Assembly: Stat;
The ISmBinomialDistribution interface enables the user to generate a sample of pseudo-random numbers from discrete binomial distribution with selected parameters.
ISmBinomialDistribution
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.
Property name | Brief description | |
Probability | The Probability property determines success probability. | |
Trials | The Trials property determines the number of trials. |
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. |
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: