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SSJ V. labo. |
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java.lang.Objectumontreal.iro.lecuyer.probdist.ContinuousDistribution
umontreal.iro.lecuyer.probdist.LoglogisticDist
public class LoglogisticDist
LoglogisticDist
Extends the class ContinuousDistribution for the Log-Logistic distribution with shape parameter α > 0 and scale parameter β > 0. Its 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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LoglogisticDist(double alpha,
double beta)
. |
Method Summary | |
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double |
barF(double x)
Returns the complementary distribution function. |
static double |
barF(double alpha,
double beta,
double x)
. |
double |
cdf(double x)
. |
static double |
cdf(double alpha,
double beta,
double x)
. |
double |
density(double x)
[hide24] |
static double |
density(double alpha,
double beta,
double x)
. |
double |
getAlpha()
. |
double |
getBeta()
. |
static LoglogisticDist |
getInstanceFromMLE(double[] x,
int n)
. |
double |
getMean()
Returns the mean. |
static double |
getMean(double alpha,
double beta)
. |
static double[] |
getMLE(double[] x,
int n)
. |
double[] |
getParams()
. |
double |
getStandardDeviation()
Returns the standard deviation. |
static double |
getStandardDeviation(double alpha,
double beta)
. |
double |
getVariance()
Returns the variance. |
static double |
getVariance(double alpha,
double beta)
. |
double |
inverseF(double u)
Returns the inverse distribution function x = F-1(u). |
static double |
inverseF(double alpha,
double beta,
double u)
. |
void |
setParams(double alpha,
double beta)
. |
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 LoglogisticDist(double alpha, double beta)
Method Detail |
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public double density(double x)
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 alpha, double beta, double x)
public static double cdf(double alpha, double beta, double x)
public static double barF(double alpha, double beta, double x)
public static double inverseF(double alpha, double beta, double u)
public static double[] getMLE(double[] x, int n)
public static LoglogisticDist getInstanceFromMLE(double[] x, int n)
public static double getMean(double alpha, double beta)
public static double getVariance(double alpha, double beta)
public static double getStandardDeviation(double alpha, double beta)
public double getAlpha()
public double getBeta()
public void setParams(double alpha, double beta)
public double[] getParams()
public String toString()
toString
in class Object
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SSJ V. labo. |
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