Log |
public class LogNormalDistribution : NormalDistribution
The LogNormalDistribution type exposes the following members.
Name | Description | |
---|---|---|
![]() | LogNormalDistribution | Initializes a new instance of the LogNormalDistribution class |
![]() | LogNormalDistribution(Double, Double) | Initializes a new instance of the LogNormalDistribution class |
![]() | LogNormalDistribution(Double, Double, RandomGenerator) | Initializes a new instance of the LogNormalDistribution class |
Name | Description | |
---|---|---|
![]() | Generator | Returns the random generator used by the distribution to generate the random values. (Inherited from ProbabilityDistribution) |
![]() | Mean | (Overrides NormalDistributionMean) |
![]() | Stdev | (Overrides NormalDistributionStdev) |
Name | Description | |
---|---|---|
![]() | CDF | (Overrides NormalDistributionCDF(Double)) |
![]() | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
![]() | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
![]() | GetHashCode | Serves as the default hash function. (Inherited from Object) |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object) |
![]() | Initialize | |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
![]() | NextDouble | (Overrides NormalDistributionNextDouble) |
![]() | (Overrides NormalDistributionPDF(Double)) | |
![]() | Quantile | (Overrides NormalDistributionQuantile(Double)) |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
---|---|---|
![]() | cached | (Inherited from NormalDistribution) |
![]() | cacheval | (Inherited from NormalDistribution) |
![]() | generator | Pointer to generator. (Inherited from ProbabilityDistribution) |
![]() | m_log | |
![]() | mu | (Inherited from NormalDistribution) |
![]() | s_log | |
![]() | scale | (Inherited from NormalDistribution) |
![]() | sigma | (Inherited from NormalDistribution) |
Return log-normal distributed random deviates with given mean and standard deviation stdev according to the density function: 2 1 (ln x - m) p (x) dx = -------------- exp( - ------------ ) dx for x > 0 m,s sqrt(2 pi x) s 2 2 s = 0 otherwise where m and s are related to the arguments mean and stdev by: 2 mean m = ln ( --------------------- ) 2 2 sqrt( stdev + mean ) 2 2 stdev + mean s = sqrt( ln( -------------- ) ) 2 mean