| Package | Description | 
|---|---|
| org.apache.commons.math3.analysis.interpolation | Univariate real functions interpolation algorithms. | 
| org.apache.commons.math3.complex | Complex number type and implementations of complex transcendental
     functions. | 
| org.apache.commons.math3.linear | Linear algebra support. | 
| org.apache.commons.math3.random | Random number and random data generators. | 
| org.apache.commons.math3.stat.inference | Classes providing hypothesis testing. | 
| Modifier and Type | Method and Description | 
|---|---|
| void | HermiteInterpolator. addSamplePoint(double x,
              double[]... value)Add a sample point. | 
| void | FieldHermiteInterpolator. addSamplePoint(T x,
              T[]... value)Add a sample point. | 
| Modifier and Type | Method and Description | 
|---|---|
| void | RootsOfUnity. computeRoots(int n)
 Computes the  n-th roots of unity. | 
| Modifier and Type | Method and Description | 
|---|---|
| static <T extends FieldElement<T>>  | MatrixUtils. createFieldVector(T[] data)Creates a  FieldVectorusing the data from the input array. | 
| Constructor and Description | 
|---|
| ArrayFieldVector(Field<T> field,
                T[] v1,
                T[] v2)Construct a vector by appending one vector to another vector. | 
| ArrayFieldVector(T[] d)Construct a vector from an array, copying the input array. | 
| ArrayFieldVector(T[] d,
                boolean copyArray)Create a new ArrayFieldVector using the input array as the underlying
 data array. | 
| ArrayFieldVector(T[] v1,
                T[] v2)Construct a vector by appending one vector to another vector. | 
| Modifier and Type | Method and Description | 
|---|---|
| void | ValueServer. computeDistribution()Computes the empirical distribution using values from the file
 in  valuesFileURL, using the default number of bins. | 
| void | ValueServer. computeDistribution(int binCount)Computes the empirical distribution using values from the file
 in  valuesFileURLandbinCountbins. | 
| void | EmpiricalDistribution. load(URL url)Computes the empirical distribution using data read from a URL. | 
| Modifier and Type | Method and Description | 
|---|---|
| static double | TestUtils. chiSquareDataSetsComparison(long[] observed1,
                           long[] observed2) | 
| double | ChiSquareTest. chiSquareDataSetsComparison(long[] observed1,
                           long[] observed2)Computes a
 
 Chi-Square two sample test statistic comparing bin frequency counts
 in  observed1andobserved2. | 
| static double | TestUtils. chiSquareTestDataSetsComparison(long[] observed1,
                               long[] observed2) | 
| double | ChiSquareTest. chiSquareTestDataSetsComparison(long[] observed1,
                               long[] observed2)Returns the observed significance level, or 
 p-value, associated with a Chi-Square two sample test comparing
 bin frequency counts in  observed1andobserved2. | 
| static boolean | TestUtils. chiSquareTestDataSetsComparison(long[] observed1,
                               long[] observed2,
                               double alpha) | 
| boolean | ChiSquareTest. chiSquareTestDataSetsComparison(long[] observed1,
                               long[] observed2,
                               double alpha)Performs a Chi-Square two sample test comparing two binned data
 sets. | 
| static double | TestUtils. gDataSetsComparison(long[] observed1,
                   long[] observed2) | 
| double | GTest. gDataSetsComparison(long[] observed1,
                   long[] observed2)Computes a G (Log-Likelihood Ratio) two sample test statistic for
 independence comparing frequency counts in
  observed1andobserved2. | 
| static double | TestUtils. gTestDataSetsComparison(long[] observed1,
                       long[] observed2) | 
| double | GTest. gTestDataSetsComparison(long[] observed1,
                       long[] observed2)Returns the observed significance level, or 
 p-value, associated with a G-Value (Log-Likelihood Ratio) for two
 sample test comparing bin frequency counts in  observed1andobserved2. | 
| static boolean | TestUtils. gTestDataSetsComparison(long[] observed1,
                       long[] observed2,
                       double alpha) | 
| boolean | GTest. gTestDataSetsComparison(long[] observed1,
                       long[] observed2,
                       double alpha)Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned
 data sets. | 
| static double | TestUtils. rootLogLikelihoodRatio(long k11,
                      long k12,
                      long k21,
                      long k22) | 
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