The LognormalDistribution type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | LognormalDistribution | Overloaded. |
Methods
| Name | Description | |
|---|---|---|
| CDF |
Returns the cumulative density function evaluated at a given value.
(Overrides ProbabilityDistribution..::.CDF(Double).) |
| Clone |
Creates a deep copy of this LognormalDistribution.
(Overrides ProbabilityDistribution..::.Clone()()().) |
| Equals | (Inherited from Object.) |
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| InverseCDF |
Returns the inverse cumulative density function evaluated a the given value.
(Overrides ProbabilityDistribution..::.InverseCDF(Double).) |
| OnDeserialized |
Constructs a LognormalDistribution instance from serialization information.
|
|
Returns the probability density function evaluated at a given value.
(Overrides ProbabilityDistribution..::.PDF(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 ProbabilityDistribution..::.ToString()()().) |
Properties
| Name | Description | |
|---|---|---|
 | 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.
|
