Package | Description |
---|---|
org.apache.commons.math3.analysis.integration |
Numerical integration (quadrature) algorithms for univariate real functions.
|
org.apache.commons.math3.distribution |
Implementations of common discrete and continuous distributions.
|
org.apache.commons.math3.stat.inference |
Classes providing hypothesis testing and confidence interval
construction.
|
Constructor and Description |
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RombergIntegrator(double relativeAccuracy,
double absoluteAccuracy,
int minimalIterationCount,
int maximalIterationCount)
Build a Romberg integrator with given accuracies and iterations counts.
|
RombergIntegrator(int minimalIterationCount,
int maximalIterationCount)
Build a Romberg integrator with given iteration counts.
|
SimpsonIntegrator(double relativeAccuracy,
double absoluteAccuracy,
int minimalIterationCount,
int maximalIterationCount)
Build a Simpson integrator with given accuracies and iterations counts.
|
SimpsonIntegrator(int minimalIterationCount,
int maximalIterationCount)
Build a Simpson integrator with given iteration counts.
|
TrapezoidIntegrator(double relativeAccuracy,
double absoluteAccuracy,
int minimalIterationCount,
int maximalIterationCount)
Build a trapezoid integrator with given accuracies and iterations counts.
|
TrapezoidIntegrator(int minimalIterationCount,
int maximalIterationCount)
Build a trapezoid integrator with given iteration counts.
|
Modifier and Type | Method and Description |
---|---|
double |
AbstractRealDistribution.cumulativeProbability(double x0,
double x1)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1) . |
double |
LogNormalDistribution.cumulativeProbability(double x0,
double x1)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1) . |
double |
RealDistribution.cumulativeProbability(double x0,
double x1)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1) . |
double |
NormalDistribution.cumulativeProbability(double x0,
double x1)
For a random variable
X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1) . |
double |
IntegerDistribution.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 |
AbstractIntegerDistribution.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) . |
Constructor and Description |
---|
HypergeometricDistribution(int populationSize,
int numberOfSuccesses,
int sampleSize)
Construct a new hypergeometric distribution with the specified population
size, number of successes in the population, and sample size.
|
TriangularDistribution(double a,
double c,
double b)
Create a triangular real distribution using the given lower limit,
upper limit, and mode.
|
UniformIntegerDistribution(int lower,
int upper)
Creates a new uniform integer distribution using the given lower and
upper bounds (both inclusive).
|
UniformRealDistribution(double lower,
double upper)
Create a uniform real distribution using the given lower and upper
bounds.
|
UniformRealDistribution(double lower,
double upper,
double inverseCumAccuracy)
Create a normal distribution using the given mean, standard deviation and
inverse cumulative distribution accuracy.
|
Modifier and Type | Method and Description |
---|---|
double |
WilcoxonSignedRankTest.wilcoxonSignedRankTest(double[] x,
double[] y,
boolean exactPValue)
Returns the observed significance level, or
p-value, associated with a
Wilcoxon signed ranked statistic comparing mean for two related
samples or repeated measurements on a single sample.
|
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