## Uses of Class
org.apache.commons.math3.exception.OutOfRangeException

- Packages that use OutOfRangeException
  Package | Description
  --- | ---
  org.apache.commons.math3.complex | Complex number type and implementations of complex transcendental functions.
  org.apache.commons.math3.distribution | Implementations of common discrete and continuous distributions.
  org.apache.commons.math3.linear | Linear algebra support.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction.
  org.apache.commons.math3.util | Convenience routines and common data structures used throughout the commons-math library.

- - ### Uses of OutOfRangeException in org.apache.commons.math3.complex

    Methods in org.apache.commons.math3.complex that throw OutOfRangeException
    Modifier and Type | Method and Description
    --- | ---
    `double` | RootsOfUnity.`getImaginary(int k)` Get the imaginary part of the `k`-th `n`-th root of unity.

  - ### Uses of OutOfRangeException in org.apache.commons.math3.distribution

    Methods in org.apache.commons.math3.distribution that throw OutOfRangeException
    Modifier and Type | Method and Description
    --- | ---
    `int` | IntegerDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.
    `double` | TriangularDistribution.`inverseCumulativeProbability(double p)`
    `double` | AbstractRealDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.
    `double` | ExponentialDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.
    `int` | AbstractIntegerDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.
    `double` | CauchyDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.
    `double` | RealDistribution.`inverseCumulativeProbability(double p)` Computes the quantile function of this distribution.

    Constructors in org.apache.commons.math3.distribution that throw OutOfRangeException
    Constructor and Description
    `PascalDistribution(int r, double p)` Create a Pascal distribution with the given number of successes and probability of success.

  - ### Uses of OutOfRangeException in org.apache.commons.math3.linear

    Methods in org.apache.commons.math3.linear that throw OutOfRangeException
    Modifier and Type | Method and Description
    --- | ---
    `void` | RealMatrix.`setSubMatrix(double[][] subMatrix, int row, int column)` Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.

  - ### Uses of OutOfRangeException in org.apache.commons.math3.stat.inference

    Methods in org.apache.commons.math3.stat.inference that throw OutOfRangeException
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | OneWayAnova.`anovaTest(Collection<double[]> categoryData, double alpha)` Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
    `boolean` | ChiSquareTest.`chiSquareTest(double[] expected, long[] observed, double alpha)` Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
    `static boolean` | TestUtils.`chiSquareTest(double[] expected, long[] observed, double alpha)`
    `boolean` | ChiSquareTest.`chiSquareTest(long[][] counts, double alpha)` Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level `alpha`.
    `static boolean` | TestUtils.`chiSquareTest(long[][] counts, double alpha)`
    `boolean` | ChiSquareTest.`chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)` Performs a Chi-Square two sample test comparing two binned data sets.
    `static boolean` | TestUtils.`chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)`
    `boolean` | TTest.`homoscedasticTTest(double[] sample1, double[] sample2, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`, assuming that the subpopulation variances are equal.
    `static boolean` | TestUtils.`homoscedasticTTest(double[] sample1, double[] sample2, double alpha)`
    `static boolean` | TestUtils.`oneWayAnovaTest(Collection<double[]> categoryData, double alpha)`
    `boolean` | TTest.`pairedTTest(double[] sample1, double[] sample2, double alpha)` Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between `sample1` and `sample2` is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level `alpha`.
    `static boolean` | TestUtils.`pairedTTest(double[] sample1, double[] sample2, double alpha)`
    `boolean` | TTest.`tTest(double[] sample1, double[] sample2, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`.
    `static boolean` | TestUtils.`tTest(double[] sample1, double[] sample2, double alpha)`
    `boolean` | TTest.`tTest(double mu, double[] sample, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which `sample` is drawn equals `mu`.
    `static boolean` | TestUtils.`tTest(double mu, double[] sample, double alpha)`
    `boolean` | TTest.`tTest(double mu, StatisticalSummary sampleStats, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by `stats` is drawn equals `mu`.
    `static boolean` | TestUtils.`tTest(double mu, StatisticalSummary sampleStats, double alpha)`
    `boolean` | TTest.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)` Performs a two-sided t-test evaluating the null hypothesis that `sampleStats1` and `sampleStats2` describe datasets drawn from populations with the same mean, with significance level `alpha`.
    `static boolean` | TestUtils.`tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)`

  - ### Uses of OutOfRangeException in org.apache.commons.math3.util

    Methods in org.apache.commons.math3.util that throw OutOfRangeException
    Modifier and Type | Method and Description
    --- | ---
    `int` | MultidimensionalCounter.`getCount(int... c)` Convert to unidimensional counter.

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