Lognormal |
The LognormalDistribution type exposes the following members.
Name | Description | |
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LognormalDistribution | Default constructor. Constructs a LognormalDistribution distribution whose logarithm have mean 0 and standard deviation 1. | |
LognormalDistribution(Double, Double) | Creates a LognormalDistribution instance whose associated normal distrubution has the specified mean and standard deviation. That is, the logarithm of the distribution will have the specified mean and standard deviation. |
Name | Description | |
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Kurtosis | Gets the kurtosis, a measure of the degree of peakednesss of the distribution. | |
Mean | Gets the mean of the distribution. | |
Mu | Gets and sets the mean of the logarithm of self which, by definition, is normally distributed. | |
Sigma | Gets and sets the standard deviation of the logarithm of self which, by definition, is normally distributed. | |
Skewness | Gets the skewness, a measure of the degree of asymmetry of this distribution. | |
Variance |
Gets the variance of the distribution.
Remarks The variance of the distribution is the standard deviation squared.
|
Name | Description | |
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CDF |
Returns the cumulative density function evaluated at a given value.
(Overrides ProbabilityDistributionCDF(Double)) | |
Clone |
Creates a deep copy of this LognormalDistribution.
(Overrides ProbabilityDistributionClone) | |
InverseCDF |
Returns the inverse cumulative density function evaluated a the given value.
(Overrides ProbabilityDistributionInverseCDF(Double)) | |
InverseCdfUsingBracket |
Uses a bracketing method to evaluate the inverse of cumulative
distribution functions.
(Inherited from ProbabilityDistribution) | |
InverseDiscreteCdfUsingBracket |
Uses a bracketing method to evaluate the inverse of cumulative
distribution functions for discrete distributions.
(Inherited from ProbabilityDistribution) | |
OnDeserialized | Constructs a LognormalDistribution instance from serialization information. | |
Returns the probability density function evaluated at a given value.
(Overrides ProbabilityDistributionPDF(Double)) | ||
SetParameters | Sets the mean and standard deviation of the logarithm of self (which is normally distributed) to the specified values. | |
ToString |
Returns a formatted string representation of this distribution.
(Overrides ProbabilityDistributionToString) |