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

Inheritance: UnivariateContinuousDistribution

显示文件 Open project: accord-net/framework Class Usage Examples

Public Methods

Method	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( double 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 ( double 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.
Normal ( int mean, double stdDev ) : SkewNormalDistribution	Create a new SkewNormalDistribution that corresponds to a NormalDistribution with the given mean and standard deviation.
ProbabilityDensityFunction ( double 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.
SkewNormalDistribution ( ) : System	Constructs a Skew normal distribution with zero location, unit scale and zero shape.
SkewNormalDistribution ( [ location ) : System	Constructs a Skew normal distribution with given location, unit scale and zero skewness.
SkewNormalDistribution ( [ location, [ scale ) : System	Constructs a Skew normal distribution with given location and scale and zero skewness.
SkewNormalDistribution ( [ location, [ scale, [ shape ) : System	Constructs a Skew normal distribution with given mean and standard deviation.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

Private Methods

Method	Description
initialize ( double location, double scale, double shape ) : void

Method Details

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 ( double x ) : double
x	double	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 ( double x ) : double
x	double	A single point in the distribution range.
return	double

Normal() public static method

Create a new SkewNormalDistribution that corresponds to a NormalDistribution with the given mean and standard deviation.

public static Normal ( int mean, double stdDev ) : SkewNormalDistribution
mean	int	The distribution's mean value μ (mu).
stdDev	double	The distribution's standard deviation σ (sigma).
return	SkewNormalDistribution

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 ( double x ) : double
x	double	A single point in the distribution range.
return	double

SkewNormalDistribution() public method

Constructs a Skew normal distribution with zero location, unit scale and zero shape.

public SkewNormalDistribution ( ) : System
return	System

SkewNormalDistribution() public method

Constructs a Skew normal distribution with given location, unit scale and zero skewness.

public SkewNormalDistribution ( [ location ) : System
location	[	The distribution's location value ξ (ksi).
return	System

SkewNormalDistribution() public method

Constructs a Skew normal distribution with given location and scale and zero skewness.

public SkewNormalDistribution ( [ location, [ scale ) : System
location	[	The distribution's location value ξ (ksi).
scale	[	The distribution's scale value ω (omega).
return	System

SkewNormalDistribution() public method

Constructs a Skew normal distribution with given mean and standard deviation.

public SkewNormalDistribution ( [ location, [ scale, [ shape ) : System
location	[	The distribution's location value ξ (ksi).
scale	[	The distribution's scale value ω (omega).
shape	[	The distribution's shape value α (alpha).
return	System

ToString() public method

Returns a System.String that represents this instance.

public ToString ( string format, IFormatProvider formatProvider ) : string
format	string
formatProvider	IFormatProvider
return	string