umontreal.iro.lecuyer.probdist
Class AndersonDarlingDist
- java.lang.Object
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- umontreal.iro.lecuyer.probdist.ContinuousDistribution
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- umontreal.iro.lecuyer.probdist.AndersonDarlingDist
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- All Implemented Interfaces:
- Distribution
- Direct Known Subclasses:
- AndersonDarlingDistQuick
public class AndersonDarlingDist extends ContinuousDistribution
Extends the classContinuousDistributionfor the Anderson-Darling distribution (see). Given a sample of n independent uniforms Ui over (0, 1), the Anderson-Darling statistic An2 is defined byAn2 = - n - 1/n∑j=1n{(2j - 1)ln(U(j)) + (2n + 1 - 2j)ln(1 - U(j))},where the U(j) are the Ui sorted in increasing order. The distribution function (the cumulative probabilities) is defined as Fn(x) = P[An2 <= x].
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Field Summary
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Fields inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution
decPrec
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Constructor Summary
Constructors Constructor and Description AndersonDarlingDist(int n)Constructs an Anderson-Darling distribution for a sample of size n.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method and Description doublebarF(double x)Returns the complementary distribution function.static doublebarF(int n, double x)Computes the complementary distribution function bar(F)n(x) with parameter n.doublecdf(double x)Returns the distribution function F(x).static doublecdf(int n, double x)Computes the Anderson-Darling distribution function Fn(x), with parameter n, using Marsaglia's and al.doubledensity(double x)Returns f (x), the density evaluated at x.static doubledensity(int n, double x)Computes the density of the Anderson-Darling distribution with parameter n.intgetN()Returns the parameter n of this object.double[]getParams()Return an array containing the parameter n of the current distribution.doubleinverseF(double u)Returns the inverse distribution function x = F-1(u).static doubleinverseF(int n, double u)Computes the inverse x = Fn-1(u) of the Anderson-Darling distribution with parameter n.voidsetN(int n)Sets the parameter n of this object.java.lang.StringtoString()-
Methods inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution
getMean, getStandardDeviation, getVariance, getXinf, getXsup, inverseBisection, inverseBrent, setXinf, setXsup
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Constructor Detail
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AndersonDarlingDist
public AndersonDarlingDist(int n)
Constructs an Anderson-Darling distribution for a sample of size n.
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Method Detail
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density
public double density(double x)
Description copied from class:ContinuousDistributionReturns f (x), the density evaluated at x.- Specified by:
densityin classContinuousDistribution- Parameters:
x- value at which the density is evaluated- Returns:
- density function evaluated at x
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cdf
public double cdf(double x)
Description copied from interface:DistributionReturns the distribution function F(x).- Parameters:
x- value at which the distribution function is evaluated- Returns:
- distribution function evaluated at x
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barF
public double barF(double x)
Description copied from class:ContinuousDistributionReturns the complementary distribution function. The default implementation computes bar(F)(x) = 1 - F(x).- Specified by:
barFin interfaceDistribution- Overrides:
barFin classContinuousDistribution- Parameters:
x- value at which the complementary distribution function is evaluated- Returns:
- complementary distribution function evaluated at x
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inverseF
public double inverseF(double u)
Description copied from class:ContinuousDistributionReturns the inverse distribution function x = F-1(u). Restrictions: u∈[0, 1].- Specified by:
inverseFin interfaceDistribution- Overrides:
inverseFin classContinuousDistribution- Parameters:
u- value at which the inverse distribution function is evaluated- Returns:
- the inverse distribution function evaluated at u
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density
public static double density(int n, double x)Computes the density of the Anderson-Darling distribution with parameter n.
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cdf
public static double cdf(int n, double x)Computes the Anderson-Darling distribution function Fn(x), with parameter n, using Marsaglia's and al. algorithm. First the asymptotic distribution for n -> ∞ is computed. Then an empirical correction obtained by simulation is added for finite n.
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barF
public static double barF(int n, double x)Computes the complementary distribution function bar(F)n(x) with parameter n.
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inverseF
public static double inverseF(int n, double u)Computes the inverse x = Fn-1(u) of the Anderson-Darling distribution with parameter n.
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getN
public int getN()
Returns the parameter n of this object.
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setN
public void setN(int n)
Sets the parameter n of this object.
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getParams
public double[] getParams()
Return an array containing the parameter n of the current distribution.
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toString
public java.lang.String toString()
- Overrides:
toStringin classjava.lang.Object
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