The methods of the Cdf class are listed below. For a complete list of Cdf class members, see the Cdf Members topic.
Public Static Methods
  Beta | Evaluates the beta cumulative probability distribution function. |
| BetaMean | Evaluates the mean of the beta cumulative probability distribution function |
| BetaProb | Evaluates the beta probability density function. |
| BetaVariance | Evaluates the variance of the beta cumulative probability distribution function |
| Binomial | Evaluates the binomial cumulative probability distribution function. |
| BinomialProb | Evaluates the binomial probability density function. |
| BivariateNormal | Evaluates the bivariate normal cumulative probability distribution function. |
| Chi | Evaluates the chi-squared cumulative probability distribution function. |
| ChiMean | Evaluates the mean of the chi-squared cumulative probability distribution function |
| ChiProb | Evaluates the chi-squared probability density function |
| ChiVariance | Evaluates the variance of the chi-squared cumulative probability distribution function |
| ComplementaryChi | Calculates the complement of the chi-squared distribution. |
| ComplementaryF | Calculates the complement of the F distribution function. |
| ComplementaryStudentsT | Calculates the complement of the Student's t distribution. |
| DiscreteUniform | Evaluates the discrete uniform cumulative probability distribution function. |
| DiscreteUniformProb | Evaluates the discrete uniform probability density function. |
| Exponential | Evaluates the exponential cumulative probability distribution function. |
| ExponentialProb | Evaluates the exponential probability density function |
| ExtremeValue | Evaluates the extreme value cumulative probability distribution function. |
| ExtremeValueProb | Evaluates the extreme value probability density function. |
| F | Evaluates the F cumulative probability distribution function. |
| FProb | Evaluates the F probability density function. |
| Gamma | Evaluates the gamma cumulative probability distribution function. |
| GammaProb | Evaluates the gamma probability density function. |
| Geometric | Evaluates the discrete geometric cumulative probability distribution function. |
| GeometricProb | Evaluates the discrete geometric probability density function. |
| Hypergeometric | Evaluates the hypergeometric cumulative probability distribution function. |
| HypergeometricProb | Evaluates the hypergeometric probability density function. |
| InverseBeta | Evaluates the inverse of the beta cumulative probability distribution function. |
| InverseChi | Evaluates the inverse of the chi-squared cumulative probability distribution function. |
| InverseDiscreteUniform | Returns the inverse of the discrete uniform cumulative probability distribution function. |
| InverseExponential | Evaluates the inverse of the exponential cumulative probability distribution function. |
| InverseExtremeValue | Returns the inverse of the extreme value cumulative probability distribution function. |
| InverseF | Returns the inverse of the F cumulative probability distribution function. |
| InverseGamma | Evaluates the inverse of the gamma cumulative probability distribution function. |
| InverseGeometric | Returns the inverse of the discrete geometric cumulative probability distribution function. |
| InverseLogNormal | Returns the inverse of the standard lognormal cumulative probability distribution function. |
| InverseNoncentralchi | Evaluates the inverse of the noncentral chi-squared cumulative probability distribution function. |
| InverseNoncentralstudentsT | Evaluates the inverse of the noncentral Student's t cumulative probability distribution function. |
| InverseNormal | Evaluates the inverse of the normal (Gaussian) cumulative probability distribution function. |
| InverseRayleigh | Returns the inverse of the Rayleigh cumulative probability distribution function. |
| InverseStudentsT | Returns the inverse of the Student's t cumulative probability distribution function. |
| InverseUniform | Returns the inverse of the uniform cumulative probability distribution function. |
| InverseWeibull | Returns the inverse of the Weibull cumulative probability distribution function. |
| LogNormal | Evaluates the standard lognormal cumulative probability distribution function. |
| LogNormalProb | Evaluates the standard lognormal probability density function. |
| Noncentralchi | Evaluates the noncentral chi-squared cumulative probability distribution function. |
| NoncentralstudentsT | Evaluates the noncentral Student's t cumulative probability distribution function. |
| Normal | Evaluates the normal (Gaussian) cumulative probability distribution function. |
| Poisson | Evaluates the Poisson cumulative probability distribution function. |
| PoissonProb | Evaluates the Poisson probability density function. |
| Rayleigh | Evaluates the Rayleigh cumulative probability distribution function. |
| RayleighProb | Evaluates the Rayleigh probability density function. |
| StudentsT | Evaluates the Student's t cumulative probability distribution function. |
| Uniform | Evaluates the uniform cumulative probability distribution function. |
| Weibull | Evaluates the Weibull cumulative probability distribution function. |
| WeibullProb | Evaluates the Weibull probability density function. |
Public Instance Methods
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetType (inherited from Object) | Gets the Type of the current instance. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
See Also
Cdf Class | Imsl.Stat Namespace | Example