public interface RealDistribution
| Modifier and Type | Method and Description | 
|---|---|
| double | cumulativeProbability(double x)For a random variable  Xwhose values are distributed according
 to this distribution, this method returnsP(X <= x). | 
| double | cumulativeProbability(double x0,
                     double x1)Deprecated. 
 As of 3.1. In 4.0, this method will be renamed
  probability(double x0, double x1). | 
| double | density(double x)Returns the probability density function (PDF) of this distribution
 evaluated at the specified point  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. | 
| double | getSupportLowerBound()Access the lower bound of the support. | 
| double | getSupportUpperBound()Access the upper bound of the support. | 
| double | 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. | 
| boolean | isSupportLowerBoundInclusive()Deprecated. 
 to be removed in 4.0 | 
| boolean | isSupportUpperBoundInclusive()Deprecated. 
 to be removed in 4.0 | 
| double | probability(double x)For a random variable  Xwhose values are distributed according
 to this distribution, this method returnsP(X = x). | 
| void | reseedRandomGenerator(long seed)Reseed the random generator used to generate samples. | 
| double | sample()Generate a random value sampled from this distribution. | 
| double[] | sample(int sampleSize)Generate a random sample from the distribution. | 
double probability(double 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 density(double x)
x. In general, the PDF is
 the derivative of the CDF.
 If the derivative does not exist at x, then an appropriate
 replacement should be returned, e.g. Double.POSITIVE_INFINITY,
 Double.NaN, or  the limit inferior or limit superior of the
 difference quotient.x - the point at which the PDF is evaluatedxdouble cumulativeProbability(double 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 evaluatedx@Deprecated double cumulativeProbability(double x0, double x1) throws NumberIsTooLargeException
probability(double x0, double x1).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 > x1double inverseCumulativeProbability(double p)
                                    throws OutOfRangeException
X distributed according to this distribution, the
 returned value is
 inf{x in R | P(X<=x) >= p} for 0 < p <= 1,inf{x in R | P(X<=x) > 0} for p = 0.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 as
 for certain cases in TDistribution) or Double.NaN if it
 is not defineddouble getSupportLowerBound()
inverseCumulativeProbability(0). In other words, this
 method must return
 inf {x in R | P(X <= x) > 0}.
Double.NEGATIVE_INFINITY)double getSupportUpperBound()
inverseCumulativeProbability(1). In other words, this
 method must return
 inf {x in R | P(X <= x) = 1}.
Double.POSITIVE_INFINITY)@Deprecated boolean isSupportLowerBoundInclusive()
getSupporLowerBound() is finite and
 density(getSupportLowerBound()) returns a non-NaN, non-infinite
 value.@Deprecated boolean isSupportUpperBoundInclusive()
getSupportUpperBound() is finite and
 density(getSupportUpperBound()) returns a non-NaN, non-infinite
 value.boolean isSupportConnected()
void reseedRandomGenerator(long seed)
seed - the new seeddouble sample()
double[] 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.