Uses of Class
org.apache.commons.math4.legacy.exception.ConvergenceException
-
Packages that use ConvergenceException Package Description org.apache.commons.math4.legacy.analysis.solvers Root finding algorithms, for univariate real functions.org.apache.commons.math4.legacy.special Implementations of special functions.org.apache.commons.math4.legacy.stat.inference Classes providing hypothesis testing. -
-
Uses of ConvergenceException in org.apache.commons.math4.legacy.analysis.solvers
Methods in org.apache.commons.math4.legacy.analysis.solvers that throw ConvergenceException Modifier and Type Method Description protected double
BaseSecantSolver. doSolve()
Method for implementing actual optimization algorithms in derived classes. -
Uses of ConvergenceException in org.apache.commons.math4.legacy.special
Methods in org.apache.commons.math4.legacy.special that throw ConvergenceException Modifier and Type Method Description double
BesselJ. value(double x)
Returns the value of the constructed Bessel function of the first kind, for the passed argument.static double
BesselJ. value(double order, double x)
Returns the first Bessel function, \(J_{order}(x)\). -
Uses of ConvergenceException in org.apache.commons.math4.legacy.stat.inference
Methods in org.apache.commons.math4.legacy.stat.inference that throw ConvergenceException Modifier and Type Method Description double
OneWayAnova. anovaPValue(Collection<double[]> categoryData)
Computes the ANOVA P-value for a collection ofdouble[]
arrays.double
OneWayAnova. anovaPValue(Collection<SummaryStatistics> categoryData, boolean allowOneElementData)
Computes the ANOVA P-value for a collection ofSummaryStatistics
.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.double
MannWhitneyUTest. mannWhitneyUTest(double[] x, double[] y)
Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.static double
InferenceTestUtils. oneWayAnovaPValue(Collection<double[]> categoryData)
static boolean
InferenceTestUtils. oneWayAnovaTest(Collection<double[]> categoryData, double alpha)
double
WilcoxonSignedRankTest. wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)
Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
-