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SSJ V. labo. |
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java.lang.Objectumontreal.iro.lecuyer.probdist.ContinuousDistribution
umontreal.iro.lecuyer.probdist.NakagamiDist
public class NakagamiDist
NakagamiDist
Extends the class ContinuousDistribution for the Nakagami distribution with location parameter a, scale parameter λ > 0 and shape parameter c > 0. The density is
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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NakagamiDist(double a,
double lambda,
double c)
. |
Method Summary | |
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double |
barF(double x)
Returns the complementary distribution function. |
static double |
barF(double a,
double lambda,
double c,
double x)
. |
double |
cdf(double x)
. |
static double |
cdf(double a,
double lambda,
double c,
double x)
. |
double |
density(double x)
Returns f (x), the density evaluated at x. |
static double |
density(double a,
double lambda,
double c,
double x)
. |
double |
getA()
. |
double |
getC()
. |
double |
getLambda()
. |
double |
getMean()
Returns the mean. |
static double |
getMean(double a,
double lambda,
double c)
. |
double[] |
getParams()
. |
double |
getStandardDeviation()
Returns the standard deviation. |
static double |
getStandardDeviation(double a,
double lambda,
double c)
. |
double |
getVariance()
Returns the variance. |
static double |
getVariance(double a,
double lambda,
double c)
. |
double |
inverseF(double u)
Returns the inverse distribution function x = F-1(u). |
static double |
inverseF(double a,
double lambda,
double c,
double u)
. |
void |
setParams(double a,
double lambda,
double c)
. |
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 NakagamiDist(double a, double lambda, double c)
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(double a, double lambda, double c, double x)
public static double cdf(double a, double lambda, double c, double x)
public static double barF(double a, double lambda, double c, double x)
public static double inverseF(double a, double lambda, double c, double u)
public static double getMean(double a, double lambda, double c)
public static double getVariance(double a, double lambda, double c)
public static double getStandardDeviation(double a, double lambda, double c)
public double getA()
public double getLambda()
public double getC()
public void setParams(double a, double lambda, double c)
public double[] getParams()
public String toString()
toString
in class Object
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SSJ V. labo. |
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