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java.lang.Object | +--org.jmat.data.RandomVariable
The RandomVaraibale Class provides static methods for generating random numbers.
| Constructor Summary | |
RandomVariable()
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| Method Summary | |
static double |
beta(double a,
double b)
Generate a random number from a beta random variable. |
static double |
cauchy(double mu,
double sigma)
Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf). |
static double |
chi2(int n)
Generate a random number from a Chi-2 random variable. |
static double |
dirac(double[] values,
double[] prob)
Generate a random number from a discrete random variable. |
static double |
exponential(double lambda)
Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2). |
static double |
logNormal(double mu,
double sigma)
Generate a random number from a LogNormal random variable. |
static double |
normal(double mu,
double sigma)
Generate a random number from a Gaussian (Normal) random variable. |
protected static double |
rand()
Generate a random number between 0 and 1. |
protected static int |
randInt(int i0,
int i1)
Generate a random integer. |
static double |
rejection(DoubleFunction fun,
double maxFun,
double min,
double max)
Generate a random number from a random variable definied by its density function, using the rejection technic. !!! |
static double |
triangular(double min,
double max)
Generate a random number from a symetric triangular random variable. |
static double |
triangular(double min,
double med,
double max)
Generate a random number from a non-symetric triangular random variable. |
static double |
uniform(double min,
double max)
Generate a random number from a uniform random variable. |
static double |
weibull(double lambda,
double c)
Generate a random number from a Weibull random variable. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public RandomVariable()
| Method Detail |
protected static double rand()
protected static int randInt(int i0,
int i1)
i0 - Min of the random variable.i1 - Max of the random variable.
public static double uniform(double min,
double max)
min - Min of the random variable.max - Max of the random variable.
public static double dirac(double[] values,
double[] prob)
values - Discrete values.prob - Probability of each value.
public static double normal(double mu,
double sigma)
mu - Mean of the random variable.sigma - Standard deviation of the random variable.
public static double chi2(int n)
n - Degrees of freedom of the chi2 random variable.
public static double logNormal(double mu,
double sigma)
mu - Mean of the Normal random variable.sigma - Standard deviation of the Normal random variable.
public static double exponential(double lambda)
lambda - Parmaeter of the exponential random variable.
public static double triangular(double min,
double max)
min - Min of the random variable.max - Max of the random variable.
public static double triangular(double min,
double med,
double max)
min - Min of the random variable.med - Value of the random variable with max density.max - Max of the random variable.
public static double beta(double a,
double b)
a - First parameter of the Beta random variable.b - Second parameter of the Beta random variable.
public static double cauchy(double mu,
double sigma)
mu - Median of the Weibull random variablesigma - Second parameter of the Cauchy random variable.
public static double weibull(double lambda,
double c)
lambda - First parameter of the Weibull random variable.c - Second parameter of the Weibull random variable.
public static double rejection(DoubleFunction fun,
double maxFun,
double min,
double max)
fun - Density function (may be not normalized) of the random variable.maxFun - Max of the function.min - Min of the random variable.max - Max of the random variable.
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