IMSL C# Numerical Library

Cdf Members

Cdf overview

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