Serialized Form (Hipparchus::Statistics 1.3 API)

Package org.hipparchus.stat
- Class org.hipparchus.stat.Frequency extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160322L
  - Serialized Fields
    - freqTable
```
java.util.NavigableMap<K extends java.lang.Object,V extends java.lang.Object> freqTable
```
      underlying collection
- Class org.hipparchus.stat.LongFrequency extends Frequency<java.lang.Long> implements Serializable
  
  serialVersionUID:
  
  20160322L
Package org.hipparchus.stat.descriptive
- Class org.hipparchus.stat.descriptive.DescriptiveStatistics extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160411L
  - Serialized Fields
    - eDA
```
ResizableDoubleArray eDA
```
      Stored data values.
    - geometricMeanImpl
```
UnivariateStatistic geometricMeanImpl
```
      Geometric mean statistic implementation.
    - kurtosisImpl
```
UnivariateStatistic kurtosisImpl
```
      Kurtosis statistic implementation.
    - maxImpl
```
UnivariateStatistic maxImpl
```
      Maximum statistic implementation.
    - meanImpl
```
UnivariateStatistic meanImpl
```
      Mean statistic implementation.
    - minImpl
```
UnivariateStatistic minImpl
```
      Minimum statistic implementation.
    - percentileImpl
```
Percentile percentileImpl
```
      Percentile statistic implementation.
    - skewnessImpl
```
UnivariateStatistic skewnessImpl
```
      Skewness statistic implementation.
    - sumImpl
```
UnivariateStatistic sumImpl
```
      Sum statistic implementation.
    - sumOfSquaresImpl
```
UnivariateStatistic sumOfSquaresImpl
```
      Sum of squares statistic implementation.
    - varianceImpl
```
UnivariateStatistic varianceImpl
```
      Variance statistic implementation.
    - windowSize
```
int windowSize
```
      holds the window size.
- Class org.hipparchus.stat.descriptive.MultivariateSummaryStatistics extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160424L
  - Serialized Fields
    - covarianceImpl
```
VectorialCovariance covarianceImpl
```
      Covariance statistic implementation
    - geoMeanImpl
```
StorelessMultivariateStatistic geoMeanImpl
```
      Geometric mean statistic implementation
    - k
```
int k
```
      Dimension of the data.
    - maxImpl
```
StorelessMultivariateStatistic maxImpl
```
      Maximum statistic implementation
    - meanImpl
```
StorelessMultivariateStatistic meanImpl
```
      Mean statistic implementation
    - minImpl
```
StorelessMultivariateStatistic minImpl
```
      Minimum statistic implementation
    - n
```
long n
```
      Count of values that have been added
    - sumImpl
```
StorelessMultivariateStatistic sumImpl
```
      Sum statistic implementation
    - sumLogImpl
```
StorelessMultivariateStatistic sumLogImpl
```
      Sum of log statistic implementation
    - sumSqImpl
```
StorelessMultivariateStatistic sumSqImpl
```
      Sum of squares statistic implementation
- Class org.hipparchus.stat.descriptive.StatisticalSummaryValues extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160406L
  - Serialized Fields
    - max
```
double max
```
      The maximum value
    - mean
```
double mean
```
      The sample mean
    - min
```
double min
```
      The minimum value
    - n
```
long n
```
      The number of observations in the sample
    - sum
```
double sum
```
      The sum of the sample values
    - variance
```
double variance
```
      The sample variance
- Class org.hipparchus.stat.descriptive.StreamingStatistics extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160422L
  - Serialized Fields
    - computeExtrema
```
boolean computeExtrema
```
      whether or not min and max are maintained
    - computeMoments
```
boolean computeMoments
```
      whether or not moment stats (sum, mean, variance) are maintained
    - computePercentiles
```
boolean computePercentiles
```
      whether or not percentiles are maintained
    - computeSumOfLogs
```
boolean computeSumOfLogs
```
      whether or not sum of logs and geometric mean are maintained
    - computeSumOfSquares
```
boolean computeSumOfSquares
```
      whether or not sum of squares and quadratic mean are maintained
    - geoMeanImpl
```
GeometricMean geoMeanImpl
```
      geoMean of values that have been added
    - maxImpl
```
Max maxImpl
```
      max of values that have been added
    - meanImpl
```
Mean meanImpl
```
      mean of values that have been added
    - minImpl
```
Min minImpl
```
      min of values that have been added
    - n
```
long n
```
      count of values that have been added
    - populationVariance
```
Variance populationVariance
```
      population variance of values that have been added
    - randomPercentile
```
RandomPercentile randomPercentile
```
      source of percentiles
    - secondMoment
```
SecondMoment secondMoment
```
      SecondMoment is used to compute the mean and variance
    - sumImpl
```
Sum sumImpl
```
      sum of values that have been added
    - sumOfLogsImpl
```
SumOfLogs sumOfLogsImpl
```
      sumLog of values that have been added
    - sumOfSquaresImpl
```
SumOfSquares sumOfSquaresImpl
```
      sum of the square of each value that has been added
    - varianceImpl
```
Variance varianceImpl
```
      variance of values that have been added
Package org.hipparchus.stat.descriptive.moment
- Class org.hipparchus.stat.descriptive.moment.GeometricMean extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - incSumOfLogs
```
boolean incSumOfLogs
```
      Determines whether or not this statistic can be incremented or cleared.
      Statistics based on (constructed from) external statistics cannot be incremented or cleared.
    - sumOfLogs
```
SumOfLogs sumOfLogs
```
      Wrapped SumOfLogs instance
- Class org.hipparchus.stat.descriptive.moment.Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - incMoment
```
boolean incMoment
```
      Determines whether or not this statistic can be incremented or cleared.
      Statistics based on (constructed from) external moments cannot be incremented or cleared.
    - moment
```
org.hipparchus.stat.descriptive.moment.FourthMoment moment
```
      Fourth Moment on which this statistic is based
- Class org.hipparchus.stat.descriptive.moment.Mean extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - incMoment
```
boolean incMoment
```
      Determines whether or not this statistic can be incremented or cleared.
      Statistics based on (constructed from) external moments cannot be incremented or cleared.
    - moment
```
org.hipparchus.stat.descriptive.moment.FirstMoment moment
```
      First moment on which this statistic is based.
- Class org.hipparchus.stat.descriptive.moment.SecondMoment extends org.hipparchus.stat.descriptive.moment.FirstMoment implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - m2
```
double m2
```
      Second moment of values that have been added
- Class org.hipparchus.stat.descriptive.moment.SemiVariance extends AbstractUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - biasCorrected
```
boolean biasCorrected
```
      Determines whether or not bias correction is applied when computing the value of the statistic. True means that bias is corrected.
    - varianceDirection
```
SemiVariance.Direction varianceDirection
```
      Determines whether to calculate downside or upside SemiVariance.
- Class org.hipparchus.stat.descriptive.moment.Skewness extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - incMoment
```
boolean incMoment
```
      Determines whether or not this statistic can be incremented or cleared.
      Statistics based on (constructed from) external moments cannot be incremented or cleared.
    - moment
```
org.hipparchus.stat.descriptive.moment.ThirdMoment moment
```
      Third moment on which this statistic is based
- Class org.hipparchus.stat.descriptive.moment.StandardDeviation extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - variance
```
Variance variance
```
      Wrapped Variance instance
- Class org.hipparchus.stat.descriptive.moment.Variance extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - incMoment
```
boolean incMoment
```
      Whether or not Variance.increment(double) should increment the internal second moment. When a Variance is constructed with an external SecondMoment as a constructor parameter, this property is set to false and increments must be applied to the second moment directly.
    - isBiasCorrected
```
boolean isBiasCorrected
```
      Whether or not bias correction is applied when computing the value of the statistic. True means that bias is corrected. See Variance for details on the formula.
    - moment
```
SecondMoment moment
```
      SecondMoment is used in incremental calculation of Variance
Package org.hipparchus.stat.descriptive.rank
- Class org.hipparchus.stat.descriptive.rank.Max extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
long n
```
      Number of values that have been added
    - value
```
double value
```
      Current value of the statistic
- Class org.hipparchus.stat.descriptive.rank.Median extends AbstractUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - percentile
```
Percentile percentile
```
      The percentile impl to calculate the median.
- Class org.hipparchus.stat.descriptive.rank.Min extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
long n
```
      Number of values that have been added
    - value
```
double value
```
      Current value of the statistic
- Class org.hipparchus.stat.descriptive.rank.Percentile extends AbstractUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - cachedPivots
```
int[] cachedPivots
```
      Cached pivots.
    - estimationType
```
Percentile.EstimationType estimationType
```
      Any of the Percentile.EstimationTypes such as CM can be used.
    - kthSelector
```
KthSelector kthSelector
```
      Default KthSelector used with default pivoting strategy
    - nanStrategy
```
NaNStrategy nanStrategy
```
      NaN Handling of the input as defined by NaNStrategy
    - quantile
```
double quantile
```
      Determines what percentile is computed when evaluate() is activated with no quantile argument.
- Class org.hipparchus.stat.descriptive.rank.PSquarePercentile extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - countOfObservations
```
long countOfObservations
```
      Counter to count the values/observations accepted into this data set
    - initialFive
```
java.util.List<E extends java.lang.Object> initialFive
```
      Initial list of 5 numbers corresponding to 5 markers. NOTE:watch out for the add methods that are overloaded
    - markers
```
PSquarePercentile.PSquareMarkers markers
```
      Markers is the marker collection object which comes to effect only after 5 values are inserted
    - pValue
```
double pValue
```
      Computed p value (i,e percentile value of data set hither to received)
    - quantile
```
double quantile
```
      The quantile needed should be in range of 0-1. The constructor PSquarePercentile(double) ensures that passed in percentile is divided by 100.
- Class org.hipparchus.stat.descriptive.rank.RandomPercentile extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - bufferMap
```
org.hipparchus.stat.descriptive.rank.RandomPercentile.BufferMap bufferMap
```
      Data structure used to manage buffers
    - currentBuffer
```
org.hipparchus.stat.descriptive.rank.RandomPercentile.Buffer currentBuffer
```
      Buffer currently being filled
    - epsilon
```
double epsilon
```
      Bound on the quantile estimation error
    - h
```
int h
```
      Maximum number of buffers minus 1
    - n
```
long n
```
      Number of elements consumed from the input data stream
    - randomGenerator
```
RandomGenerator randomGenerator
```
      Source of random data
    - s
```
int s
```
      Storage size of each buffer
Package org.hipparchus.stat.descriptive.summary
- Class org.hipparchus.stat.descriptive.summary.Product extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
long n
```
      The number of values that have been added
    - value
```
double value
```
      The current Running Product
- Class org.hipparchus.stat.descriptive.summary.Sum extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
long n
```
      The number of values that have been added
    - value
```
double value
```
      The currently running sum
- Class org.hipparchus.stat.descriptive.summary.SumOfLogs extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
int n
```
      Number of values that have been added
    - value
```
double value
```
      The currently running value
- Class org.hipparchus.stat.descriptive.summary.SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable
  
  serialVersionUID:
  
  20150412L
  - Serialized Fields
    - n
```
long n
```
      Number of values that have been added
    - value
```
double value
```
      The currently running sumSq
Package org.hipparchus.stat.descriptive.vector
- Class org.hipparchus.stat.descriptive.vector.VectorialCovariance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4118372414238930270L
  - Serialized Fields
    - isBiasCorrected
```
boolean isBiasCorrected
```
      Indicator for bias correction.
    - n
```
long n
```
      Number of vectors in the sample.
    - productsSums
```
double[] productsSums
```
      Sums of products for each component.
    - sums
```
double[] sums
```
      Sums for each component.
- Class org.hipparchus.stat.descriptive.vector.VectorialStorelessStatistic extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  20160413L
  - Serialized Fields
    - stats
```
StorelessUnivariateStatistic[] stats
```
      Statistic for each component
Package org.hipparchus.stat.fitting
- Class org.hipparchus.stat.fitting.EmpiricalDistribution extends AbstractRealDistribution implements Serializable
  
  serialVersionUID:
  
  5729073523949762654L
  - Serialized Fields
    - binCount
```
int binCount
```
      number of bins
    - binStats
```
java.util.List<E extends java.lang.Object> binStats
```
      List of SummaryStatistics objects characterizing the bins
    - delta
```
double delta
```
      Grid size
    - loaded
```
boolean loaded
```
      is the distribution loaded?
    - max
```
double max
```
      Max loaded value
    - min
```
double min
```
      Min loaded value
    - randomData
```
RandomDataGenerator randomData
```
      RandomDataGenerator instance to use in repeated calls to getNext()
    - sampleStats
```
StreamingStatistics sampleStats
```
      Sample statistics
    - upperBounds
```
double[] upperBounds
```
      upper bounds of subintervals in (0,1) "belonging" to the bins
Package org.hipparchus.stat.regression
- Class org.hipparchus.stat.regression.RegressionResults extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - containsConstant
```
boolean containsConstant
```
      boolean flag indicator of whether a constant was included
    - globalFitInfo
```
double[] globalFitInfo
```
      array storing global results, SSE, MSE, RSQ, adjRSQ
    - isSymmetricVCD
```
boolean isSymmetricVCD
```
      boolean flag for variance covariance matrix in symm compressed storage
    - nobs
```
long nobs
```
      number of observations on which results are based
    - parameters
```
double[] parameters
```
      regression slope parameters
    - rank
```
int rank
```
      rank of the solution
    - varCovData
```
double[][] varCovData
```
      variance covariance matrix of parameters
- Class org.hipparchus.stat.regression.SimpleRegression extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3004689053607543335L
  - Serialized Fields
    - hasIntercept
```
boolean hasIntercept
```
      include an intercept or not
    - n
```
long n
```
      number of observations
    - sumX
```
double sumX
```
      sum of x values
    - sumXX
```
double sumXX
```
      total variation in x (sum of squared deviations from xbar)
    - sumXY
```
double sumXY
```
      sum of products
    - sumY
```
double sumY
```
      sum of y values
    - sumYY
```
double sumYY
```
      total variation in y (sum of squared deviations from ybar)
    - xbar
```
double xbar
```
      mean of accumulated x values, used in updating formulas
    - ybar
```
double ybar
```
      mean of accumulated y values, used in updating formulas

Serialized Form

Package org.hipparchus.stat

Class org.hipparchus.stat.Frequency extends java.lang.Object implements Serializable

Serialized Fields

freqTable

Class org.hipparchus.stat.LongFrequency extends Frequency<java.lang.Long> implements Serializable

Package org.hipparchus.stat.descriptive

Class org.hipparchus.stat.descriptive.DescriptiveStatistics extends java.lang.Object implements Serializable

Serialized Fields

eDA

geometricMeanImpl

kurtosisImpl

maxImpl

meanImpl

minImpl

percentileImpl

skewnessImpl

sumImpl

sumOfSquaresImpl

varianceImpl

windowSize

Class org.hipparchus.stat.descriptive.MultivariateSummaryStatistics extends java.lang.Object implements Serializable

Serialized Fields

covarianceImpl

geoMeanImpl

k

maxImpl

meanImpl

minImpl

n

sumImpl

sumLogImpl

sumSqImpl

Class org.hipparchus.stat.descriptive.StatisticalSummaryValues extends java.lang.Object implements Serializable

Serialized Fields

max

mean

min

n

sum

variance

Class org.hipparchus.stat.descriptive.StreamingStatistics extends java.lang.Object implements Serializable

Serialized Fields

computeExtrema

computeMoments

computePercentiles

computeSumOfLogs

computeSumOfSquares

geoMeanImpl

maxImpl

meanImpl

minImpl

n

populationVariance

randomPercentile

secondMoment

sumImpl

sumOfLogsImpl

sumOfSquaresImpl

varianceImpl

Package org.hipparchus.stat.descriptive.moment

Class org.hipparchus.stat.descriptive.moment.GeometricMean extends AbstractStorelessUnivariateStatistic implements Serializable

Serialized Fields

incSumOfLogs

sumOfLogs

Class org.hipparchus.stat.descriptive.moment.Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable

Serialized Fields

incMoment

moment

Class org.hipparchus.stat.descriptive.moment.Mean extends AbstractStorelessUnivariateStatistic implements Serializable

Serialized Fields

incMoment

moment

Class org.hipparchus.stat.descriptive.moment.SecondMoment extends org.hipparchus.stat.descriptive.moment.FirstMoment implements Serializable

Serialized Fields

m2

Class org.hipparchus.stat.descriptive.moment.SemiVariance extends AbstractUnivariateStatistic implements Serializable

Serialized Fields

biasCorrected

varianceDirection