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m.
data.
maxElement
add operations ago.
BinomialDistribution.n choose k",
the number of k-element subsets that can be selected from
an n-element set.
double representation of the
Binomial Coefficient, "n choose k",
the number of k-element subsets that can be selected from
an n-element set.
log of the
Binomial Coefficient, "n choose k",
the number of k-element subsets that can be selected from
an n-element set.
ChiSquaredDistributionobserved and expected freqeuncy counts.
observed frequency counts to those in the
expected array.
alpha.
valuesFileURL after use in REPLAY_MODE.
valuesFileURL, using the default number of bins.
valuesFileURL and binCount bins.
x).
EmpiricalDistribution interface.ExponentialDistributionFDistribution.maxElements doubles.
- FixedDoubleArray(double[]) -
Constructor for class org.apache.commons.math.util.FixedDoubleArray
- Create a fixed array backed by the provided double[] implementation.
- FourthMoment - class org.apache.commons.math.stat.univariate.moment.FourthMoment.
- The FourthMoment is calculated using the following
recursive strategy
.
- FourthMoment() -
Constructor for class org.apache.commons.math.stat.univariate.moment.FourthMoment
-
- Frequency - class org.apache.commons.math.stat.Frequency.
- Maintains a frequency distribution.
- Frequency() -
Constructor for class org.apache.commons.math.stat.Frequency
- Default constructor.
- Frequency(String) -
Constructor for class org.apache.commons.math.stat.Frequency
- Construct a frequency distribution with the given name.
- f -
Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
- The function to solve.
- factorial(int) -
Static method in class org.apache.commons.math.util.MathUtils
- Returns n!.
- factorialDouble(int) -
Static method in class org.apache.commons.math.util.MathUtils
- Returns n!.
- factorialLog(int) -
Static method in class org.apache.commons.math.util.MathUtils
- Returns the natural logarithm of n!.
- fill(double[]) -
Method in class org.apache.commons.math.random.ValueServer
- Fills the input array with values generated using getNext() repeatedly.
- fill(int) -
Method in class org.apache.commons.math.random.ValueServer
- Returns an array of length
length with values generated
using getNext() repeatedly.
- firstDerivative(double) -
Method in class org.apache.commons.math.analysis.CubicSplineFunction
- Compute the value for the first derivative of the function.
- firstDerivative(double) -
Method in class org.apache.commons.math.analysis.PolynomialFunction
- Compute the value for the first derivative of the function.
- functionValueAccuracy -
Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
- Maximum error of function.
GammaDistributioncol as an array.
p, used to
bracket a CDF root.
p, used to
bracket a PDF root.
p, used to
bracket a PDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a PDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a PDF root.
p, used to
bracket a PDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a PDF root.
p, used to
bracket a CDF root.
dimension x dimension identity matrix.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
p, used to
bracket a CDF root.
row as an array.
valuesFileURL
- getVariance() -
Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
- Returns the variance of the values that have been added via West's
algorithm as described by
Chan, T.
- getVariance() -
Method in class org.apache.commons.math.stat.DescriptiveStatistics
- Returns the variance of the available values.
- getWindowSize() -
Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
-
- getWindowSize() -
Method in class org.apache.commons.math.stat.DescriptiveStatistics
- Univariate has the ability to return only measures for the
last N elements added to the set of values.
HypergeometricDistribution.p.
p.
p.
Math.m.
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
DistributionFactory
DescriptiveStatistics
DescriptiveStatistics
DescriptiveStatistics
UnivariateRealSolver for the given function.
UnivariateRealSolver for the given function.
mean.
len.
lower and upper (endpoints included).
lower and upper, inclusive.
lower and upper (endpoints included).
lower and upper, inclusive.
k whose entries
are selected randomly, without repetition, from the integers
0 through n-1 (inclusive).
k objects selected randomly
from the Collection c.
lower and upper (endpoints included)
from a secure random sequence.
lower and upper, inclusive.
lower
and upper (endpoints included).
lower and upper, inclusive.
lower,upper) (i.e., endpoints excluded).
ValueServer.resetReplayFile() to be removed before 0.1 release
v.
v.
y value associated with the
supplied x value.
RandomData interface using
java.util.Random and
java.util.Random.SecureRandom instances to generate data.data as the underlying
data array.
v as the
data for the unique column of the v.length x 1 matrix
created.
valuesFileURL.
d
data.
inData.
inData.
ValueServer.setValuesFileURL(URL) to be removed before 0.1 release
valuesFileURL
b.
b.
m.
TDistribution.sampleStats to mu.
sample1 and sample2 are drawn
from populations with the same mean, with significance level
alpha.
sample is drawn equals mu.
mu.
sampleStats1 and sampleStats2
describe datasets drawn from populations with the same mean, with
significance level alpha.
stats is drawn equals mu.
sampleStats
with the constant mu.
UnivariateRealSolver objects.
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