FDistribution.Sample Method
Definition
Namespace: Numerics.NET.Statistics.Distributions
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5
Overload List
| Sample() | Returns a random sample from the distribution. | 
| Sample( | Returns a vector of random samples from the distribution. | 
| Sample( | Returns a random sample from the distribution. | 
| Sample( | Returns a vector of random samples from the distribution. | 
| Sample( | Returns a single random sample from an F distribution with the specified parameters. | 
Sample(Random)
            Returns a random sample from the distribution.
            
public override double Sample(
	Random random
)Parameters
- random Random
- A Random object that specifies the uniform random number generator that is to be used to generate the samples.
Return Value
DoubleA double-precision floating-point number.
Remarks
This method uses the random number generator specified by random to generate a random sample from the distribution. The return values of successive calls to this method follow the distribution represented by this Distribution.
Exceptions
| Argument | random is null. | 
Sample(Random, Double, Double)
            Returns a single random sample from an F distribution
            with the specified parameters.
            
public static double Sample(
	Random random,
	double numeratorDegreesOfFreedom,
	double denominatorDegreesOfFreedom
)Parameters
- random Random
- The Random derived random number generator used to generate the sample.
- numeratorDegreesOfFreedom Double
- The number of degrees of freedom for the variance of the sample for the denominator.
- denominatorDegreesOfFreedom Double
- The number of degrees of freedom for the variance of the sample for the denominator.
Return Value
DoubleA double-precision floating-point sample from the F distribution with the specified parameters.
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. |