public class UniformIntegerDistribution extends AbstractIntegerDistribution
random, randomData| Constructor and Description |
|---|
UniformIntegerDistribution(int lower,
int upper)
Creates a new uniform integer distribution using the given lower and
upper bounds (both inclusive).
|
UniformIntegerDistribution(RandomGenerator rng,
int lower,
int upper)
Creates a new uniform integer distribution using the given lower and
upper bounds (both inclusive).
|
| 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 |
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.
|
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). |
int |
sample()
Generate a random value sampled from this distribution.
|
cumulativeProbability, inverseCumulativeProbability, logProbability, reseedRandomGenerator, sample, solveInverseCumulativeProbabilitypublic UniformIntegerDistribution(int lower,
int upper)
throws NumberIsTooLargeException
lower - Lower bound (inclusive) of this distribution.upper - Upper bound (inclusive) of this distribution.NumberIsTooLargeException - if lower >= upper.public UniformIntegerDistribution(RandomGenerator rng, int lower, int upper) throws NumberIsTooLargeException
rng - Random number generator.lower - Lower bound (inclusive) of this distribution.upper - Upper bound (inclusive) of this distribution.NumberIsTooLargeException - if lower >= upper.public 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 evaluatedxpublic double 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 evaluatedxpublic double getNumericalMean()
lower and upper bound upper, the mean is
0.5 * (lower + upper).Double.NaN if it is not definedpublic double getNumericalVariance()
lower and upper bound upper, and
n = upper - lower + 1, the variance is (n^2 - 1) / 12.Double.POSITIVE_INFINITY or
Double.NaN if it is not defined)public int getSupportLowerBound()
inverseCumulativeProbability(0). In other words, this
method must return
inf {x in Z | P(X <= x) > 0}.
public int getSupportUpperBound()
inverseCumulativeProbability(1). In other words, this
method must return
inf {x in R | P(X <= x) = 1}.
public boolean isSupportConnected()
truepublic int sample()
sample in interface IntegerDistributionsample in class AbstractIntegerDistributionCopyright © 2003–2014 The Apache Software Foundation. All rights reserved.