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 | |
|---|---|---|
| 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) |