Normal |
The NormalDistribution type exposes the following members.
Name | Description | |
---|---|---|
NormalDistribution | Default constructor. Constructs a NormalDistribution with mean 0 and variance 1. | |
NormalDistribution(Double, Double) | Constructs a NormalDistribution instance with the given mean and variance. |
Name | Description | |
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Kurtosis | Gets the kurtosis, a measure of the degree of peakednesss of the density. | |
Mean | Gets and sets the mean of the density. | |
Skewness | Gets the skewness, a measure of the degree of asymmetry of this density. | |
Variance | Gets and sets the variance of the density. |
Name | Description | |
---|---|---|
CDF |
Returns the cumulative density function evaluated at a given value.
(Overrides ProbabilityDistributionCDF(Double)) | |
Clone |
Creates a deep copy of this PoissonDistribution.
(Overrides ProbabilityDistributionClone) | |
InverseCDF |
Returns the inverse cumulative density function evaluated at 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) | |
Returns the probability density function evaluated at a given value.
(Overrides ProbabilityDistributionPDF(Double)) | ||
ToString |
Returns a formatted string representation of this distribution.
(Overrides ProbabilityDistributionToString) |