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SSJ V. labo. |
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java.lang.Objectumontreal.iro.lecuyer.probdist.ContinuousDistribution
umontreal.iro.lecuyer.probdist.ChiSquareDist
public class ChiSquareDist
ChiSquareDist
Extends the class ContinuousDistribution for the chi-square distribution with n degrees of freedom, where n is a positive integer[#!tJOH95a!#, page 416]. Its density is
The non-static versions of the methods cdf, barF, and inverseF call the static version of the same name.
Field Summary |
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Fields inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution |
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decPrec |
Constructor Summary | |
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ChiSquareDist(int n)
. |
Method Summary | |
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double |
barF(double x)
Returns the complementary distribution function. |
static double |
barF(int n,
int d,
double x)
. |
double |
cdf(double x)
. |
static double |
cdf(int n,
int d,
double x)
. |
double |
density(double x)
Returns f (x), the density evaluated at x. |
static double |
density(int n,
double x)
. |
static ChiSquareDist |
getInstanceFromMLE(double[] x,
int m)
. |
double |
getMean()
Returns the mean. |
static double |
getMean(int n)
. |
static double[] |
getMLE(double[] x,
int m)
. |
static double[] |
getMomentsEstimate(double[] x,
int m)
. |
int |
getN()
. |
double[] |
getParams()
. |
double |
getStandardDeviation()
Returns the standard deviation. |
static double |
getStandardDeviation(int n)
. |
double |
getVariance()
Returns the variance. |
static double |
getVariance(int n)
. |
double |
inverseF(double u)
Returns the inverse distribution function x = F-1(u). |
static double |
inverseF(int n,
double u)
. |
void |
setN(int n)
. |
String |
toString()
. |
Methods inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution |
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getXinf, getXsup, inverseBisection, inverseBrent, setXinf, setXsup |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public ChiSquareDist(int n)
Method Detail |
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public double density(double x)
ContinuousDistribution
density
in class ContinuousDistribution
x
- value at which the density is evaluated
public double cdf(double x)
Distribution
public double barF(double x)
ContinuousDistribution
barF
in interface Distribution
barF
in class ContinuousDistribution
x
- value at which the complementary distribution function is evaluated
public double inverseF(double u)
ContinuousDistribution
inverseF
in interface Distribution
inverseF
in class ContinuousDistribution
u
- value at which the inverse distribution function is evaluated
public double getMean()
ContinuousDistribution
getMean
in interface Distribution
getMean
in class ContinuousDistribution
public double getVariance()
ContinuousDistribution
getVariance
in interface Distribution
getVariance
in class ContinuousDistribution
public double getStandardDeviation()
ContinuousDistribution
getStandardDeviation
in interface Distribution
getStandardDeviation
in class ContinuousDistribution
public static double density(int n, double x)
public static double cdf(int n, int d, double x)
public static double barF(int n, int d, double x)
public static double inverseF(int n, double u)
public static double[] getMLE(double[] x, int m)
public static ChiSquareDist getInstanceFromMLE(double[] x, int m)
public static double getMean(int n)
public static double[] getMomentsEstimate(double[] x, int m)
public static double getVariance(int n)
public static double getStandardDeviation(int n)
public int getN()
public void setN(int n)
public double[] getParams()
public String toString()
toString
in class Object
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SSJ V. labo. |
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