TDistribution Class |
The TDistribution type exposes the following members.
Name | Description | |
---|---|---|
TDistribution | Default constructor. Constructs a TDistribution instance with one degree of freedom. | |
TDistribution(Double) | Constructs a TDistribution instance with the given degrees of freedom. |
Name | Description | |
---|---|---|
DegreesOfFreedom | Gets and sets the degrees of freedom for the distribution. | |
Kurtosis | Gets the kurtosis, a measure of the degree of peakednesss of the distribution. | |
Mean | Gets the mean of the distribution. | |
Skewness | Gets the skewness, a measure of the degree of asymmetry of this distribution. | |
Variance | Gets the variance of the distribution. |
Name | Description | |
---|---|---|
CDF |
Returns the cumulative density function evaluated at the given value.
(Overrides ProbabilityDistributionCDF(Double)) | |
Clone |
Creates a deep copy of this TDistribution.
(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) |