Serialized Form

Class org.apache.commons.math.stat.AbstractDescriptiveStatistics extends AbstractStorelessDescriptiveStatistics implements Serializable

Serialized Fields

percentile

Percentile percentile
Percentile


Class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics extends DescriptiveStatistics implements Serializable

Serialized Fields

windowSize

int windowSize
hold the window size


n

int n
count of values that have been added


moment

FourthMoment moment
FourthMoment is used in calculating mean, variance,skew and kurtosis


sum

Sum sum
sum of values that have been added


sumsq

SumOfSquares sumsq
sum of the square of each value that has been added


min

Min min
min of values that have been added


max

Max max
max of values that have been added


sumLog

SumOfLogs sumLog
sumLog of values that have been added


geoMean

GeometricMean geoMean
geoMean of values that have been added


mean

Mean mean
mean of values that have been added


variance

Variance variance
variance of values that have been added


skewness

Skewness skewness
skewness of values that have been added


kurtosis

Kurtosis kurtosis
kurtosis of values that have been added


Class org.apache.commons.math.special.Beta extends Object implements Serializable


Class org.apache.commons.math.distribution.BinomialDistributionImpl extends AbstractDiscreteDistribution implements Serializable

Serialized Fields

numberOfTrials

int numberOfTrials
The number of trials.


probabilityOfSuccess

double probabilityOfSuccess
The probability of success.


Class org.apache.commons.math.analysis.BisectionSolver extends UnivariateRealSolverImpl implements Serializable


Class org.apache.commons.math.stat.BivariateRegression extends Object implements Serializable

serialVersionUID: -3004689053607543335l

Serialized Fields

sumX

double sumX
sum of x values


sumXX

double sumXX
total variation in x (sum of squared deviations from xbar)


sumY

double sumY
sum of y values


sumYY

double sumYY
total variation in y (sum of squared deviations from ybar)


sumXY

double sumXY
sum of products


n

long n
number of observations


xbar

double xbar
mean of accumulated x values, used in updating formulas


ybar

double ybar
mean of accumulated y values, used in updating formulas


Class org.apache.commons.math.analysis.BrentSolver extends UnivariateRealSolverImpl implements Serializable


Class org.apache.commons.math.distribution.ChiSquaredDistributionImpl extends AbstractContinuousDistribution implements Serializable

Serialized Fields

gamma

GammaDistribution gamma
Internal Gamma distribution.


Class org.apache.commons.math.complex.Complex extends Object implements Serializable

Serialized Fields

imaginary

double imaginary
The imaginary part.


real

double real
The real part.


Class org.apache.commons.math.util.ContinuedFraction extends Object implements Serializable


Class org.apache.commons.math.util.ContractableDoubleArray extends ExpandableDoubleArray implements Serializable

serialVersionUID: -3485529955529426875l

Serialized Fields

contractionCriteria

float contractionCriteria
The contraction criteria defines the conditions under which this object will "resize" the internal array to the number of elements contained in the element array + 1


Class org.apache.commons.math.ConvergenceException extends MathException implements Serializable


Class org.apache.commons.math.analysis.CubicSplineFunction extends Object implements Serializable

Serialized Fields

xval

double[] xval
Spline segment interval delimiters. Size is N+1 for N segments.


c

double[][] c
The spline segment's polynominal coefficients. The first index runs over the intervals, size is N. The second index adresses the coefficients in the segment, with index 0 being the absolute coefficient and index 3 the coefficient for the third power. The coefficients are setup so that x runs from 0 to xval[i+1]-xval[i].


Class org.apache.commons.math.util.DefaultTransformer extends Object implements Serializable


Class org.apache.commons.math.stat.DescriptiveStatistics extends Object implements Serializable


Class org.apache.commons.math.stat.DescriptiveStatisticsImpl extends AbstractDescriptiveStatistics implements Serializable

Serialized Fields

eDA

ContractableDoubleArray eDA
A contractable double array is used. memory is reclaimed when the storage of the array becomes too empty.


Class org.apache.commons.math.distribution.DistributionFactoryImpl extends DistributionFactory implements Serializable


Class org.apache.commons.math.random.EmpiricalDistributionImpl extends Object implements Serializable

Serialized Fields

binStats

ArrayList binStats
List of DescriptiveStatistics objects characterizing the bins


sampleStats

DescriptiveStatistics sampleStats
Sample statistics


binCount

int binCount
number of bins


loaded

boolean loaded
is the distribution loaded?


upperBounds

double[] upperBounds
upper bounds of subintervals in (0,1) "belonging" to the bins


randomData

RandomData randomData
RandomData instance to use in repeated calls to getNext()


Class org.apache.commons.math.util.ExpandableDoubleArray extends Object implements Serializable

serialVersionUID: -5697417774251632284l

Serialized Fields

internalArray

double[] internalArray
This is the internal storage array.


numElements

int numElements
Number of elements in the array


startIndex

int startIndex
Keeps track of a starting index


initialCapacity

int initialCapacity
The initial capacity of the array. Initial capacity is not exposed as a property as it is only meaningful when passed to a constructor.


expansionFactor

float expansionFactor
The expand factor of the array. When the array need to be expanded, the new array size will be internalArray.length * expandFactor


Class org.apache.commons.math.distribution.ExponentialDistributionImpl extends Object implements Serializable

Serialized Fields

mean

double mean
The mean of this distribution.


Class org.apache.commons.math.distribution.FDistributionImpl extends AbstractContinuousDistribution implements Serializable

Serialized Fields

numeratorDegreesOfFreedom

double numeratorDegreesOfFreedom
The numerator degrees of freedom


denominatorDegreesOfFreedom

double denominatorDegreesOfFreedom
The numerator degrees of freedom


Class org.apache.commons.math.stat.univariate.moment.FirstMoment extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -803343206421984070l

Serialized Fields

n

int n
count of values that have been added


m1

double m1
first moment of values that have been added


dev

double dev
temporary internal state made available for higher order moments


v

double v
temporary internal state made available for higher order moments


n0

double n0
temporary internal state made available for higher order moments


Class org.apache.commons.math.util.FixedDoubleArray extends Object implements Serializable

serialVersionUID: 1247853239629842963l

Serialized Fields

internalArray

double[] internalArray
This is the internal storage array. This array is assigned a known fixed size in the constructor


size

int size
Size determined the number of elements in the array at any given time. When an array is created is maxElements of 100, it is of size 0, and size increases as values are added.


nextAdd

int nextAdd
This index points to the location of the next update. Next add, cycles from 0 to (maxElement-1)


maxElements

int maxElements
The maximum number of elements in the FixedDoubleArray


Class org.apache.commons.math.stat.univariate.moment.FourthMoment extends ThirdMoment implements Serializable

serialVersionUID: 4763990447117157611l

Serialized Fields

m4

double m4
fourth moment of values that have been added


prevM3

double prevM3
temporary internal state made available for higher order moments


n3

double n3
temporary internal state made available for higher order moments


Class org.apache.commons.math.stat.Frequency extends Object implements Serializable

Serialized Fields

name

String name
name for this frequency distribution.


freqTable

Bag freqTable
underlying collection


Class org.apache.commons.math.special.Gamma extends Object implements Serializable


Class org.apache.commons.math.distribution.GammaDistributionImpl extends AbstractContinuousDistribution implements Serializable

Serialized Fields

alpha

double alpha
The shape parameter.


beta

double beta
The scale parameter.


Class org.apache.commons.math.stat.univariate.moment.GeometricMean extends SumOfLogs implements Serializable

serialVersionUID: -8178734905303459453l

Serialized Fields

n

int n

geoMean

double geoMean

lastSum

double lastSum


Class org.apache.commons.math.distribution.HypergeometricDistributionImpl extends AbstractDiscreteDistribution implements Serializable

Serialized Fields

numberOfSuccesses

int numberOfSuccesses
The number of successes in the population.


populationSize

int populationSize
The population size.


sampleSize

int sampleSize
The sample size.


Class org.apache.commons.math.stat.univariate.moment.Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2784465764798260919l

Serialized Fields

moment

FourthMoment moment

incMoment

boolean incMoment

kurtosis

double kurtosis

n

int n

mean

Mean mean


Class org.apache.commons.math.MathConfigurationException extends MathException implements Serializable


Class org.apache.commons.math.MathException extends NestableException implements Serializable


Class org.apache.commons.math.stat.univariate.rank.Max extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -5593383832225844641l

Serialized Fields

n

int n

value

double value


Class org.apache.commons.math.stat.univariate.moment.Mean extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -1296043746617791564l

Serialized Fields

moment

FirstMoment moment
first moment of values that have been added


incMoment

boolean incMoment

sum

Sum sum


Class org.apache.commons.math.stat.univariate.rank.Median extends Percentile implements Serializable

serialVersionUID: -3961477041290915687l


Class org.apache.commons.math.stat.univariate.rank.Min extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -2941995784909003131l

Serialized Fields

n

int n

value

double value


Class org.apache.commons.math.stat.univariate.rank.Percentile extends AbstractUnivariateStatistic implements Serializable

serialVersionUID: -8091216485095130416l

Serialized Fields

percentile

double percentile


Class org.apache.commons.math.analysis.PolynomialFunction extends Object implements Serializable

Serialized Fields

c

double[] c
The polynominal coefficients. The index represents the coefficients of the polynomail, with index 0 being the absolute coefficient and index N the coefficient for the Nth power.


Class org.apache.commons.math.stat.univariate.summary.Product extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2824226005990582538l

Serialized Fields

n

int n

value

double value
The current Running Product.


Class org.apache.commons.math.random.RandomDataImpl extends Object implements Serializable

Serialized Fields

rand

Random rand
underlying random number generator


secRand

SecureRandom secRand
underlying secure random number generator


Class org.apache.commons.math.linear.RealMatrixImpl extends Object implements Serializable

Serialized Fields

data

double[][] data
Entries of the matrix


lu

double[][] lu
Entries of LU decomposition. All updates to data (other than luDecompostion) *must* set this to null


pivot

int[] pivot
Pivot array associated with LU decompostion


parity

int parity
Parity of the permutation associated with the LU decomposition


Class org.apache.commons.math.analysis.SecantSolver extends UnivariateRealSolverImpl implements Serializable


Class org.apache.commons.math.stat.univariate.moment.SecondMoment extends FirstMoment implements Serializable

serialVersionUID: 3942403127395076445l

Serialized Fields

m2

double m2
second moment of values that have been added


n1

double n1
temporary internal state made availabel for higher order moments


Class org.apache.commons.math.stat.univariate.moment.Skewness extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 7101857578996691352l

Serialized Fields

moment

ThirdMoment moment

incMoment

boolean incMoment

skewness

double skewness

n

int n

mean

Mean mean


Class org.apache.commons.math.analysis.SplineInterpolator extends Object implements Serializable

Serialized Fields

c

double[][] c
the natural spline coefficients.


Class org.apache.commons.math.stat.univariate.moment.StandardDeviation extends Variance implements Serializable

serialVersionUID: 5728716329662425188l

Serialized Fields

std

double std

lastVar

double lastVar


Class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl extends AbstractStorelessDescriptiveStatistics implements Serializable

Serialized Fields

storage

FixedDoubleArray storage
fixed storage


Class org.apache.commons.math.stat.univariate.summary.Sum extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -8231831954703408316l

Serialized Fields

n

int n

value

double value
The currently running sum.


Class org.apache.commons.math.stat.univariate.summary.SumOfLogs extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -370076995648386763l

Serialized Fields

n

int n

value

double value
The currently running value


init

boolean init


Class org.apache.commons.math.stat.univariate.summary.SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 1460986908574398008l

Serialized Fields

n

int n

value

double value
The currently running sumSq


Class org.apache.commons.math.distribution.TDistributionImpl extends AbstractContinuousDistribution implements Serializable

Serialized Fields

degreesOfFreedom

double degreesOfFreedom
The degrees of freedom


Class org.apache.commons.math.stat.TestStatisticImpl extends Object implements Serializable

serialVersionUID: 3357444126133491679l


Class org.apache.commons.math.stat.univariate.moment.ThirdMoment extends SecondMoment implements Serializable

serialVersionUID: -7818711964045118679l

Serialized Fields

m3

double m3
third moment of values that have been added


v2

double v2
temporary internal state made availabel for higher order moments


n2

double n2
temporary internal state made availabel for higher order moments


prevM2

double prevM2
temporary internal state made availabel for higher order moments


Class org.apache.commons.math.util.TransformerMap extends Object implements Serializable

Serialized Fields

defaultTransformer

NumberTransformer defaultTransformer
A default Number Transformer for Numbers and numeric Strings.


map

Map map
The internal Map.


Class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl extends UnivariateRealSolverFactory implements Serializable


Class org.apache.commons.math.analysis.UnivariateRealSolverImpl extends Object implements Serializable

Serialized Fields

absoluteAccuracy

double absoluteAccuracy
Maximum absolute error.


relativeAccuracy

double relativeAccuracy
Maximum relative error.


functionValueAccuracy

double functionValueAccuracy
Maximum error of function.


maximalIterationCount

int maximalIterationCount
Maximum number of iterations.


defaultAbsoluteAccuracy

double defaultAbsoluteAccuracy
Default maximum absolute error.


defaultRelativeAccuracy

double defaultRelativeAccuracy
Default maximum relative error.


defaultFunctionValueAccuracy

double defaultFunctionValueAccuracy
Default maximum error of function.


defaultMaximalIterationCount

int defaultMaximalIterationCount
Default maximum number of iterations.


resultComputed

boolean resultComputed
Indicates where a root has been computed.


result

double result
The last computed root.


iterationCount

int iterationCount
The last iteration count.


f

UnivariateRealFunction f
The function to solve.


Class org.apache.commons.math.random.ValueServer extends Object implements Serializable

Serialized Fields

mode

int mode
mode determines how values are generated


valuesFileURL

URL valuesFileURL
URI to raw data values


mu

double mu
Mean for use with non-data-driven modes


sigma

double sigma
Standard deviation for use with GAUSSIAN_MODE


empiricalDistribution

EmpiricalDistribution empiricalDistribution
Empirical probability distribution for use with DIGEST_MODE


filePointer

BufferedReader filePointer
file pointer for REPLAY_MODE


randomData

RandomDataImpl randomData
RandomDataImpl to use for random data generation


Class org.apache.commons.math.stat.univariate.moment.Variance extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -9111962718267217978l

Serialized Fields

moment

SecondMoment moment
SecondMoment is used in incremental calculation of Variance


incMoment

boolean incMoment
Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.


variance

double variance
This property maintains the latest calculated variance for efficiency when getResult() is called many times between increments.


n

int n
Maintains the current count of inrementations that have occured. If the external SecondMoment is used, the this is updated from that moments counter


mean

Mean mean
Mean to be used in UnvariateStatistic evaluation approach.



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