public class Beta extends AbstractContinousDoubleDistribution
p(x) = k * x^(alpha-1) * (1-x)^(beta-1) with k = g(alpha+beta)/(g(alpha)*g(beta)) and g(a) being the gamma function.
Valid parameter ranges: alpha > 0 and beta > 0.
Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.
Implementation:
H. Sakasegawa (1983): Stratified rejection and squeeze method for generating beta random numbers, Ann. Inst. Statist. Math. 35 B, 291-302.
and
Stadlober E., H. Zechner (1993), Generating beta variates via patchwork rejection,, Computing 50, 1-18.
Constructor and Description |
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Beta(double alpha,
double beta,
DoubleRandomEngine randomGenerator)
Constructs a Beta distribution.
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Modifier and Type | Method and Description |
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double |
cdf(double x)
Returns the cumulative distribution function.
|
double |
nextDouble()
Returns a random number from the distribution.
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double |
nextDouble(double alpha,
double beta)
Returns a beta distributed random number; bypasses the internal state.
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double |
pdf(double x)
Returns the cumulative distribution function.
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void |
setState(double alpha,
double beta)
Sets the parameters.
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static double |
staticNextDouble(double alpha,
double beta)
Returns a random number from the distribution.
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String |
toString()
Returns a String representation of the receiver.
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apply, apply, clone, makeDefaultGenerator, nextInt
public Beta(double alpha, double beta, DoubleRandomEngine randomGenerator)
public double cdf(double x)
public double nextDouble()
nextDouble
in class AbstractDoubleDistribution
public double nextDouble(double alpha, double beta)
public double pdf(double x)
public void setState(double alpha, double beta)
public static double staticNextDouble(double alpha, double beta)
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