public interface IntegerDistribution
| Modifier and Type | Method and Description |
|---|---|
double |
cumulativeProbability(int x)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(X <= x). |
double |
cumulativeProbability(int x0,
int x1)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1). |
double |
getNumericalMean()
Use this method to get the numerical value of the mean of this
distribution.
|
double |
getNumericalVariance()
Use this method to get the numerical value of the variance of this
distribution.
|
int |
getSupportLowerBound()
Access the lower bound of the support.
|
int |
getSupportUpperBound()
Access the upper bound of the support.
|
int |
inverseCumulativeProbability(double p)
Computes the quantile function of this distribution.
|
boolean |
isSupportConnected()
Use this method to get information about whether the support is
connected, i.e.
|
double |
probability(int x)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(X = x). |
void |
reseedRandomGenerator(long seed)
Reseed the random generator used to generate samples.
|
int |
sample()
Generate a random value sampled from this distribution.
|
int[] |
sample(int sampleSize)
Generate a random sample from the distribution.
|
double probability(int x)
X whose values are distributed according
to this distribution, this method returns P(X = x). In other
words, this method represents the probability mass function (PMF)
for the distribution.x - the point at which the PMF is evaluatedxdouble cumulativeProbability(int x)
X whose values are distributed according
to this distribution, this method returns P(X <= x). In other
words, this method represents the (cumulative) distribution function
(CDF) for this distribution.x - the point at which the CDF is evaluatedxdouble cumulativeProbability(int x0,
int x1)
throws NumberIsTooLargeException
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).x0 - the exclusive lower boundx1 - the inclusive upper boundx0 and x1,
excluding the lower and including the upper endpointNumberIsTooLargeException - if x0 > x1int inverseCumulativeProbability(double p)
throws OutOfRangeException
X distributed according to this distribution,
the returned value is
inf{x in Z | P(X<=x) >= p} for 0 < p <= 1,inf{x in Z | P(X<=x) > 0} for p = 0.int,
then Integer.MIN_VALUE or Integer.MAX_VALUE is returned.p - the cumulative probabilityp-quantile of this distribution
(largest 0-quantile for p = 0)OutOfRangeException - if p < 0 or p > 1double getNumericalMean()
Double.NaN if it is not defineddouble getNumericalVariance()
Double.POSITIVE_INFINITY or
Double.NaN if it is not defined)int getSupportLowerBound()
inverseCumulativeProbability(0). In other words, this
method must return
inf {x in Z | P(X <= x) > 0}.
Integer.MIN_VALUE
for negative infinity)int getSupportUpperBound()
inverseCumulativeProbability(1). In other words, this
method must return
inf {x in R | P(X <= x) = 1}.
Integer.MAX_VALUE
for positive infinity)boolean isSupportConnected()
void reseedRandomGenerator(long seed)
seed - the new seedint sample()
int[] sample(int sampleSize)
sampleSize - the number of random values to generateNotStrictlyPositiveException - if sampleSize is not positiveCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.