Bernoulli
Definition
Namespace: Numerics.NET.Statistics.Distributions
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.3.0
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.3.0
Overload List
| Sample() | Returns a random sample from the distribution. |
| Sample( | Returns a vector containing the specified number of independent random samples drawn from this distribution. |
| Sample( | Returns a random sample from the distribution using an IRandomSource instance. |
| Sample( | Returns a random sample from the distribution using a Random instance. |
| Sample( | Returns a vector containing the specified number of independent random samples drawn from this distribution using the provided IRandomSource. |
| Sample( | Returns a vector of random samples from the distribution. |
| Sample( | Returns a single random sample from a Bernoulli distribution using a typed generator. |
| Sample( |
Fills an Int32 array with random numbers.
|
| Sample( | Returns a single random sample from a Bernoulli distribution with the specified success rate. |
| Sample( |
Fills an Int32 array with random numbers.
|
| Sample( |
Fills an Int32 array with random numbers from this DiscreteDistribution.
|
| Sample( |
Fills an Int32 array with random numbers from this DiscreteDistribution.
|
| Sample<TGenerator>(IRandomSource<TGenerator>) | Returns a random sample from the distribution using the supplied IRandomSource<TGenerator>. |
| Sample<TGenerator>(TGenerator) | Returns a random sample from the distribution using the provided generator. |
| Sample<TGenerator>(TGenerator) | Returns a random sample from the distribution using the provided generator. |
| Sample<TGenerator>(Int32, IRandomSource<TGenerator>) | Returns a vector containing the specified number of independent random samples drawn from this distribution using the supplied IRandomSource<TGenerator>. |
| Sample<TGenerator>(IRandomSource<TGenerator>, Double) | Returns a single random sample from a Bernoulli distribution using a typed generator. |
Sample<TGenerator>(TGenerator)
Returns a random sample from the distribution using the provided
generator.
protected override int Sample<TGenerator>(
ref TGenerator generator
)
where TGenerator : struct, new(), IRandomGenerator
Parameters
- generator TGenerator
- A reference to a struct implementing IRandomGenerator used to produce uniform variates.
Type Parameters
- TGenerator
- The underlying generator type of the random source, used to enable optimizations like inlining.
Return Value
Int32A signed 32-bit integer random variate.
Remarks
Implementations may override this method to provide a more efficient or specialized sampling algorithm that consumes raw uniform variates from generator.
Sample(IRandomSource, Double)
Returns a single random sample from a Bernoulli distribution using a typed generator.
public static int Sample(
IRandomSource random,
double probability
)Parameters
- random IRandomSource
- probability Double
Return Value
Int32Sample<TGenerator>(IRandomSource<TGenerator>, Double)
Returns a single random sample from a Bernoulli distribution using a typed generator.
public static int Sample<TGenerator>(
IRandomSource<TGenerator> random,
double probability
)
where TGenerator : struct, new(), IRandomGenerator
Parameters
- random IRandomSource<TGenerator>
- probability Double
Type Parameters
- TGenerator
Return Value
Int32Sample(Random, Double)
Returns a single random sample from a Bernoulli distribution
with the specified success rate.
public static int Sample(
Random random,
double probability
)Parameters
- random Random
- The Random derived random number generator used to generate the sample.
- probability Double
- The probability of a trial resulting in success.
Return Value
Int32A 32-bit signed integer sample from the Bernoulli distribution with the specified parameter.
Remarks
This method is useful when only a single random sample is required, or if the parameters of the distribution change often. To obtain a large number of samples from a distribution with identical parameters, create an instance of the class and call the Sample() method repeatedly.
Exceptions
| Argument | random is null. |
| Argument | probability is less than zero or greater than 1. |