Cdf Class

Cdf Class

Cumulative probability distribution functions.

Inheritance Hierarchy

SystemObject
Imsl.StatCdf

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

C++

Copy

[SerializableAttribute]
public sealed class Cdf

<SerializableAttribute>
Public NotInheritable Class Cdf

[SerializableAttribute]
public ref class Cdf sealed

[<SealedAttribute>]
[<SerializableAttribute>]
type Cdf =  class end

The Cdf type exposes the following members.

Methods

	Name	Description
	Beta	Evaluates the beta cumulative probability distribution function.
	BetaMean	Evaluates the mean of the beta cumulative probability distribution function.
	BetaVariance	Evaluates the variance of the beta cumulative probability distribution function.
	Binomial	Evaluates the binomial cumulative probability distribution 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.
	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.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Exponential	Evaluates the exponential cumulative probability distribution function.
	ExtremeValue	Evaluates the extreme value cumulative probability distribution function.
	F	Evaluates the F cumulative probability distribution function.
	Gamma	Evaluates the gamma cumulative probability distribution function.
	Geometric	Evaluates the discrete geometric cumulative probability distribution function.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Hypergeometric	Evaluates the hypergeometric cumulative probability distribution function.
	Logistic	Evaluates the logistic cumulative probability distribution function.
	LogNormal	Evaluates the standard lognormal cumulative probability distribution function.
	NoncentralBeta	Evaluates the noncentral beta cumulative probability distribution function (CDF).
	Noncentralchi	Evaluates the noncentral chi-squared cumulative probability distribution function.
	NoncentralF	Evaluates the noncentral F cumulative distribution function (CDF).
	NoncentralstudentsT	Evaluates the noncentral Student's t cumulative probability distribution function.
	Normal	Evaluates the normal (Gaussian) cumulative probability distribution function.
	Pareto	Evaluates the Pareto cumulative probability distribution function.
	Poisson	Evaluates the Poisson cumulative probability distribution function.
	Rayleigh	Evaluates the Rayleigh cumulative probability distribution function.
	StudentsT	Evaluates the Student's t cumulative probability distribution function.
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Uniform	Evaluates the uniform cumulative probability distribution function.
	Weibull	Evaluates the Weibull cumulative probability distribution function.

Top

Reference

Imsl.Stat Namespace

Probability density function

Inverse Cumulative Distribution Function

Other Resources

Example