The Random type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | Random | Overloaded. |
Methods
| Name | Description | |
|---|---|---|
| CanonicalCorrelation | Method CanonicalCorrelation generates a canonical correlation matrix from an arbitrarily distributed multivariate deviate sequence with nvar deviate variables, nseq steps in the sequence, and a Gaussian Copula dependence structure. |
| Equals | (Inherited from Object.) |
 | Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) |
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
| Next | Overloaded. |
| NextBeta |
Generate a pseudorandom number from a beta distribution.
|
| NextBinomial |
Generate a pseudorandom number from a Binomial distribution.
|
| NextBytes |
Fills the elements of a specified array of bytes with random numbers.
(Inherited from Random.) |
| NextCauchy |
Generates a pseudorandom number from a Cauchy distribution.
|
| NextChiSquared |
Generates a pseudorandom number from a Chi-squared distribution.
|
| NextDouble |
Generates the next pseudorandom number.
(Overrides Random..::.NextDouble()()().) |
| NextExponential |
Generates a pseudorandom number from a standard exponential
distribution.
|
| NextExponentialMix |
Generate a pseudorandom number from a mixture of two exponential
distributions.
|
| NextExtremeValue |
Generate a pseudorandom number from an extreme value distribution.
|
| NextF |
Generate a pseudorandom number from the F distribution.
|
| NextFloat |
Generates the next pseudorandom number.
|
| NextGamma |
Generates a pseudorandom number from a standard gamma distribution.
|
| NextGaussianCopula | Overloaded. |
| NextGeometric |
Generate a pseudorandom number from a geometric distribution.
|
| NextHypergeometric |
Generate a pseudorandom number from a hypergeometric distribution.
|
| NextLogarithmic |
Generate a pseudorandom number from a logarithmic distribution.
|
| NextLogNormal |
Generate a pseudorandom number from a lognormal distribution.
|
| NextMultivariateNormal | Overloaded. |
| NextNegativeBinomial |
Generate a pseudorandom number from a negative Binomial distribution.
|
| NextNormal |
Generate a pseudorandom number from a standard normal distribution
using an inverse CDF method.
|
| NextNormalAR |
Generate a pseudorandom number from a standard normal distribution
using an acceptance/rejection method.
|
| NextPoisson |
Generate a pseudorandom number from a Poisson distribution.
|
| NextRayleigh |
Generate a pseudorandom number from a Rayleigh distribution.
|
| NextStudentsT |
Generate a pseudorandom number from a Student's t distribution.
|
| NextStudentsTCopula | Overloaded. |
| NextTriangular |
Generate a pseudorandom number from a triangular distribution on
the interval (0,1).
|
| NextVonMises |
Generate a pseudorandom number from a von Mises distribution.
|
| NextWeibull |
Generate a pseudorandom number from a Weibull distribution.
|
| NextZigguratNormalAR |
Generates pseudorandom numbers using the Ziggurat method.
|
| Sample |
Returns a random number between 0.0 and 1.0.
(Inherited from Random.) |
| Skip |
Resets the seed to skip ahead in the base linear congruential
generator.
|
| ToString | (Inherited from Object.) |
Properties
| Name | Description | |
|---|---|---|
 | Multiplier |
The multiplier for a linear congruential random number generator.
|
| NumberOfProcessors |
Perform the parallel calculations with the maximum possible number of
processors set to NumberOfProcessors.
|
