CUDistribution Class |
Namespace: FinMath.Statistics.Distributions
[SerializableAttribute] public abstract class CUDistribution
The CUDistribution type exposes the following members.
Name | Description | |
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Entropy |
Entropy of the distribution.
http://en.wikipedia.org/wiki/Information_entropy
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Kurtosis |
Excess Kurtosis of distribution.
http://en.wikipedia.org/wiki/Excess_kurtosis
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Mean |
Mean of the distribution.
http://en.wikipedia.org/wiki/Expected_value
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Median |
Median of distribution.
http://en.wikipedia.org/wiki/Median
| |
Mode |
Mode of distribution.
http://en.wikipedia.org/wiki/Mode_(statistics)
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Skewness |
Skewness of distribution.
http://en.wikipedia.org/wiki/Skewness
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StandardDeviation |
Standard deviation of the distribution.
http://en.wikipedia.org/wiki/Standard_Deviation
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Variance |
Variance of the distribution.
http://en.wikipedia.org/wiki/Variance
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Name | Description | |
---|---|---|
Cdf |
Cumulative distribution function.
http://en.wikipedia.org/wiki/Cumulative_distribution_function
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
InverseCdf |
Inverse cumulative distribution function. Is useful for quantile calculation. Function will return value of random variable
such that likelihood for this random variable to occur less than or equal to returned value equal to specified pvalue parameter.
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Probability distribution function.
http://en.wikipedia.org/wiki/Probability_density_function
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Sample |
Generate random variable sample.
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Sample(Double) |
Fill in array with random variable series.
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Sample(Int32) |
Generate series of random variable samples.
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Sample(Vector) |
Fill in vector with random variable samples series.
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ToString | Returns a string that represents the current object. (Inherited from Object.) |