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java.lang.Objectumontreal.iro.lecuyer.probdist.ContinuousDistribution
umontreal.iro.lecuyer.probdist.NakagamiDist
public class 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 |
|---|
| Fields inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution |
|---|
decPrec |
| Constructor Summary | |
|---|---|
NakagamiDist(double a,
double lambda,
double c)
Constructs a NakagamiDist object with parameters a = a, λ = lambda and c = c. |
|
| Method Summary | |
|---|---|
double |
barF(double x)
Returns the complementary distribution function. |
static double |
barF(double a,
double lambda,
double c,
double x)
Computes the complementary distribution function. |
double |
cdf(double x)
Returns the distribution function F(x). |
static double |
cdf(double a,
double lambda,
double c,
double x)
Computes the distribution function. |
double |
density(double x)
Returns f (x), the density evaluated at x. |
static double |
density(double a,
double lambda,
double c,
double x)
Computes the density function of the Nakagami distribution. |
double |
getA()
Returns the location parameter a of this object. |
double |
getC()
Returns the shape parameter c of this object. |
double |
getLambda()
Returns the scale parameter λ of this object. |
double |
getMean()
Returns the mean. |
static double |
getMean(double a,
double lambda,
double c)
. |
double[] |
getParams()
Return a table containing the parameters of the current distribution. |
double |
getStandardDeviation()
Returns the standard deviation. |
static double |
getStandardDeviation(double a,
double lambda,
double c)
Computes the standard deviation of the Nakagami distribution with parameters a, λ and 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)
Computes the inverse of the distribution function. |
void |
setParams(double a,
double lambda,
double c)
Sets the parameters a, λ and c of this object. |
String |
toString()
Returns a String containing information about the current distribution. |
| Methods inherited from class umontreal.iro.lecuyer.probdist.ContinuousDistribution |
|---|
getXinf, getXsup, inverseBisection, inverseBrent, setXinf, setXsup |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public NakagamiDist(double a,
double lambda,
double c)
| Method Detail |
|---|
public double density(double x)
ContinuousDistribution
density in class ContinuousDistributionx - value at which the density is evaluated
public double cdf(double x)
Distribution
x - value at which the distribution function is evaluated
public double barF(double x)
ContinuousDistribution
barF in interface DistributionbarF in class ContinuousDistributionx - value at which the complementary distribution function is evaluated
public double inverseF(double u)
ContinuousDistribution
inverseF in interface DistributioninverseF in class ContinuousDistributionu - value at which the inverse distribution function is evaluated
public double getMean()
ContinuousDistribution
getMean in interface DistributiongetMean in class ContinuousDistributionpublic double getVariance()
ContinuousDistribution
getVariance in interface DistributiongetVariance in class ContinuousDistributionpublic double getStandardDeviation()
ContinuousDistribution
getStandardDeviation in interface DistributiongetStandardDeviation in class ContinuousDistribution
public static double density(double a,
double lambda,
double c,
double x)
a - the location parameterlambda - the scale parameterc - the shape parameterx - the value at which the density is evaluated
public static double cdf(double a,
double lambda,
double c,
double x)
a - the location parameterlambda - the scale parameterc - the shape parameterx - the value at which the distribution is evaluated
public static double barF(double a,
double lambda,
double c,
double x)
a - the location parameterlambda - the scale parameterc - the shape parameterx - the value at which the complementary distribution is evaluated
public static double inverseF(double a,
double lambda,
double c,
double u)
a - the location parameterlambda - the scale parameterc - the shape parameteru - the value at which the inverse distribution is evaluated
public static double getMean(double a,
double lambda,
double c)
.
a - the location parameterlambda - the scale parameterc - the shape parameter
public static double getVariance(double a,
double lambda,
double c)
[c - ([tex2html_wrap_indisplay259])2].
a - the location parameterlambda - the scale parameterc - the shape parameter
public static double getStandardDeviation(double a,
double lambda,
double c)
a - the location parameterlambda - the scale parameterc - the shape parameter
public double getA()
public double getLambda()
public double getC()
public void setParams(double a,
double lambda,
double c)
a - the location parameterlambda - the scale parameterc - the shape parameterpublic double[] getParams()
public String toString()
toString in class Object
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | ||||||||