C# Class Accord.Statistics.Distributions.Univariate.BetaPrimeDistribution

Inheritance: UnivariateContinuousDistribution
Mostra file Open project: accord-net/framework Class Usage Examples

Public Methods

Method Description
BetaPrimeDistribution ( [ alpha, [ beta ) : System

Constructs a new Beta-Prime distribution with the given two non-negative shape parameters a and b.

Clone ( ) : object

Creates a new object that is a copy of the current instance.

DistributionFunction ( [ x ) : double

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

LogProbabilityDensityFunction ( [ x ) : double

Gets the log-probability density function (pdf) for this distribution evaluated at point x.

The Probability Density Function (PDF) describes the probability that a given value x will occur.

ProbabilityDensityFunction ( [ x ) : double

Gets the probability density function (pdf) for this distribution evaluated at point x.

The Probability Density Function (PDF) describes the probability that a given value x will occur.

ToString ( string format, IFormatProvider formatProvider ) : string

Returns a System.String that represents this instance.

Method Details

BetaPrimeDistribution() public method

Constructs a new Beta-Prime distribution with the given two non-negative shape parameters a and b.
public BetaPrimeDistribution ( [ alpha, [ beta ) : System
alpha [ The distribution's non-negative shape parameter a.
beta [ The distribution's non-negative shape parameter b.
return System

Clone() public method

Creates a new object that is a copy of the current instance.
public Clone ( ) : object
return object

DistributionFunction() public method

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
public DistributionFunction ( [ x ) : double
x [ A single point in the distribution range.
return double

LogProbabilityDensityFunction() public method

Gets the log-probability density function (pdf) for this distribution evaluated at point x.
The Probability Density Function (PDF) describes the probability that a given value x will occur.
public LogProbabilityDensityFunction ( [ x ) : double
x [ A single point in the distribution range.
return double

ProbabilityDensityFunction() public method

Gets the probability density function (pdf) for this distribution evaluated at point x.
The Probability Density Function (PDF) describes the probability that a given value x will occur.
public ProbabilityDensityFunction ( [ x ) : double
x [ A single point in the distribution range.
return double

ToString() public method

Returns a System.String that represents this instance.
public ToString ( string format, IFormatProvider formatProvider ) : string
format string
formatProvider IFormatProvider
return string