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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.
ChiSquaredDistribution
observed
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.ExponentialDistribution
FDistribution
.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.
GammaDistribution
col
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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