Uses of Class
jdistlib.disttest.TestKind

Packages that use TestKind

Package	Description
jdistlib.disttest

Uses of TestKind in jdistlib.disttest

Methods in jdistlib.disttest that return TestKind

Modifier and Type	Method and Description
static TestKind	TestKind.valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static TestKind[]	TestKind.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in jdistlib.disttest with parameters of type TestKind

Modifier and Type	Method and Description
static double[]	DistributionTest.ansari_bradley_test(double[] x, double[] y, boolean force_exact, TestKind kind) Ansari-Bradley test.
static double[]	DistributionTest.binomial_test(int n_success, int n, double p, TestKind kind) Binomial test
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, double[] Y, TestKind kind) Compute the Kolmogorov-Smirnov test to test between two distribution, exact p-value.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, double[] Y, TestKind kind, boolean isExact) Compute the Kolmogorov-Smirnov test to test between two distribution.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist, TestKind kind) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, exact p-value.
static double[]	DistributionTest.kolmogorov_smirnov_test(double[] X, GenericDistribution dist, TestKind kind, boolean isExact) Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution.
static double[]	DistributionTest.mann_whitney_u_test(double[] x, double[] y, double mu, boolean correction, boolean paired, TestKind kind) Mann-Whitney-U test
static double[]	DistributionTest.mood_test(double[] x, double[] y, TestKind kind) Performs Mood's two-sample test for a difference in scale parameters.
static double[]	DistributionTest.poisson_test(int num_events, double time, double rate, TestKind kind) Performs an exact test of a simple null hypothesis about the rate parameter in Poisson distribution
static double[]	DistributionTest.poisson_test(int num_events1, int num_events2, double time1, double time2, double r, TestKind kind) Comparison of Poisson rates
static double[]	DistributionTest.t_test_paired(double[] x, double[] y, double mu, TestKind kind) Paired t-test
static double[]	DistributionTest.t_test(double[] x, double[] y, double mu, boolean pool_var, TestKind kind) Two sample t-test
static double[]	DistributionTest.t_test(double[] x, double mu, TestKind kind) One-sample t-test
static double[]	DistributionTest.var_test(double[] x, double[] y, double ratio, TestKind kind) Performs an F test to compare the variances of two samples from normal populations.
static double[]	DistributionTest.var_test(double[] x, double[] y, TestKind kind) Performs an F test to compare the variances of two samples from normal populations.
static double[]	DistributionTest.wilcoxon_test(double[] x, double mu, boolean correction, TestKind kind) One-sample Wilcoxon test.