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    • BernoulliDistribution Class
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    • Sample Method (Random)
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  • Sample Method (Random, Double, Double)
LognormalDistributionSample Method (Random, Double, Double)Extreme Optimization Numerical Libraries for .NET Professional
Returns a single random sample from a lognormal distribution with the specified parameters.

Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax

C#
VB
C++
F#
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public static double Sample(
	Random random,
	double mean,
	double standardDeviation
)
Public Shared Function Sample ( 
	random As Random,
	mean As Double,
	standardDeviation As Double
) As Double
public:
static double Sample(
	Random^ random, 
	double mean, 
	double standardDeviation
)
static member Sample : 
        random : Random * 
        mean : float * 
        standardDeviation : float -> float 

Parameters

random
Type: SystemRandom
The Random derived random number generator used to generate the sample.
mean
Type: SystemDouble
Mean of the underlying normal distribution.
standardDeviation
Type: SystemDouble
Standard deviation of the underlying normal distribution.

Return Value

Type: Double
A double-precision floating-point sample from the lognormal distribution with the specified parameters.
Exceptions

ExceptionCondition
ArgumentOutOfRangeException The scale parameter, standardDeviation is less than or equal to zero.
ArgumentNullExceptionrandom is .
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(Random, Double, Double) method repeatedly.

Version Information

Numerical Libraries

Supported in: 6.0
See Also

Reference

LognormalDistribution Class
Sample Overload
Extreme.Statistics.Distributions Namespace

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