- k - Variable in class jdistlib.HyperGeometric.RandomState
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- k(double, double, boolean) - Static method in class jdistlib.math.Bessel
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This routine calculates modified Bessel functions of the third kind, K_{alpha} (x), for non-negative argument x,
and order alpha, with or without exponential scaling.
- kDefaultEpsilon - Static variable in class jdistlib.math.spline.SmoothSpline
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- kDefaultMaxNumIterations - Static variable in class jdistlib.math.spline.SmoothSpline
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- kDefaultSmoothingParamLowerBound - Static variable in class jdistlib.math.spline.SmoothSpline
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- kDefaultSmoothingParamUpperBound - Static variable in class jdistlib.math.spline.SmoothSpline
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- kDefaultTolerance - Static variable in class jdistlib.math.spline.SmoothSpline
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- Kendall - Class in jdistlib
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Kendall tau distribution
- Kendall(int) - Constructor for class jdistlib.Kendall
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- Kernel - Enum in jdistlib.math.density
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- kInvGoldRatio - Static variable in class jdistlib.math.Constants
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This is the squared inverse of the golden ratio ((3 - sqrt(5.0))/ 2).
- kl - Variable in class jdistlib.HyperGeometric.RandomState
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- kolmogorov_lilliefors_pvalue(double, int) - Static method in class jdistlib.disttest.NormalityTest
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- kolmogorov_lilliefors_statistic(double[]) - Static method in class jdistlib.disttest.NormalityTest
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Exactly identical as kolmogorov_smirnov_statistic
- kolmogorov_smirnov_pvalue(double, double[]) - Static method in class jdistlib.disttest.NormalityTest
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Deprecated.
- kolmogorov_smirnov_statistic(double[]) - Static method in class jdistlib.disttest.NormalityTest
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Deprecated.
- kolmogorov_smirnov_test(double[], double[]) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between two distribution, two-sided, exact p-value.
- kolmogorov_smirnov_test(double[], double[], boolean) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between two distribution, two-sided.
- kolmogorov_smirnov_test(double[], double[], TestKind) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between two distribution, exact p-value.
- kolmogorov_smirnov_test(double[], double[], TestKind, boolean) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between two distribution.
- kolmogorov_smirnov_test(double[], GenericDistribution) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, two-sided, exact p-value.
- kolmogorov_smirnov_test(double[], GenericDistribution, TestKind) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, exact p-value.
- kolmogorov_smirnov_test(double[], GenericDistribution, boolean) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution, two-sided.
- kolmogorov_smirnov_test(double[], GenericDistribution, TestKind, boolean) - Static method in class jdistlib.disttest.DistributionTest
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Compute the Kolmogorov-Smirnov test to test between X and a known reference distribution.
- kolmogorov_smirnov_test(double[]) - Static method in class jdistlib.disttest.NormalityTest
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Perform Kolmogorov-Smirnov two-sided normality test.
- kr - Variable in class jdistlib.HyperGeometric.RandomState
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- kruskal_wallis_test(double[], int[]) - Static method in class jdistlib.disttest.DistributionTest
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Kruskal-Wallis test
- ks - Variable in class jdistlib.HyperGeometric.RandomState
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- Kumaraswamy - Class in jdistlib
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Kumaraswamy distribution
- Kumaraswamy(double, double) - Constructor for class jdistlib.Kumaraswamy
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