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    • Extreme.Mathematics Namespace
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  • Extreme.Statistics.Distributions Namespace
    • BernoulliDistribution Class
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  • LognormalDistribution Class
    • Members
    • Constructors
    • Methods
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  • Members
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LognormalDistribution Members

LognormalDistribution Class Constructors Methods Properties See Also 

The LognormalDistribution type exposes the following members.

Constructors

  Name Description
Public method LognormalDistribution Overloaded.

Methods

  Name Description
Public method DistributionFunction
Evaluates the cumulative distribution function (CDF) of this distribution for the specified value.
(Overrides ContinuousDistribution..::..DistributionFunction(Double).)
Public method Equals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected method Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
Public method GetExpectationValue
Returns the expectation value of a function
(Inherited from ContinuousDistribution.)
Public method GetExpectedHistogram Overloaded.
Public method GetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public method GetRandomSequence Overloaded.
Public method GetRandomVariate Obsolete.
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution.)
Public method GetRandomVariates Overloaded.
Public method GetType
Gets the Type of the current instance.
(Inherited from Object.)
Public method HazardFunction
Returns the probability of failure at the specified value.
(Inherited from ContinuousDistribution.)
Public method InverseDistributionFunction
Returns the sample value at the specified percentile.
(Overrides ContinuousDistribution..::..InverseDistributionFunction(Double).)
Public method LeftTailProbability
Returns the probability that a sample from the distribution is less than the specified value.
(Inherited from ContinuousDistribution.)
Protected method MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public method MomentFunction
Returns the value of the moment function of the specified order.
(Overrides ContinuousDistribution..::..MomentFunction(Int32, Double).)
Public method Probability
Returns the probability that a sample taken from the distribution lies inside the specified interval.
(Inherited from ContinuousDistribution.)
Public method ProbabilityDensityFunction
Returns the value of the probability density function (PDF) of this distribution for the specified value.
(Overrides ContinuousDistribution..::..ProbabilityDensityFunction(Double).)
Public method RightTailProbability
Returns the probability that a sample from the distribution is larger than the specified value.
(Inherited from ContinuousDistribution.)
Public method Sample Overloaded.
Public method SurvivorDistributionFunction
Evaluates the survivor distribution function (SDF) of this distribution for the specified value.
(Overrides ContinuousDistribution..::..SurvivorDistributionFunction(Double).)
Public method ToString
Returns a String that represents the current Object.
(Inherited from Object.)
Public method TwoTailedProbability
Returns the probability that a sample from the distribution deviates from the mean more than the specified value.
(Inherited from ContinuousDistribution.)

Properties

  Name Description
Public property InterQuartileRange
Returns the inter-quartile range of this distribution.
(Inherited from ContinuousDistribution.)
Public property IsSymmetrical
Gets a value that indicates whether the distribution is known to be symmetrical around the mean.
(Inherited from ContinuousDistribution.)
Public property Kurtosis
Gets the kurtosis of the distribution.
(Overrides Distribution..::..Kurtosis.)
Public property LocationParameter
Gets the location parameter for the distribution.
Public property Mean
Gets the mean or expectation value of the distribution.
(Overrides Distribution..::..Mean.)
Public property ScaleParameter
Gets the scale parameter for the distribution.
Public property Skewness
Gets the skewness of the distribution.
(Overrides Distribution..::..Skewness.)
Public property StandardDeviation
Gets the standard deviation of the distribution.
(Inherited from Distribution.)
Public property Support
Gets the support of the distribution.
(Overrides ContinuousDistribution..::..Support.)
Public property Variance
Gets the variance of the distribution.
(Overrides Distribution..::..Variance.)

See Also

LognormalDistribution Class
Extreme.Statistics.Distributions Namespace

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