A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

K

k - Variable in class com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution

the degree of freedom

k - Variable in class com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution

the shape parameter

k - Variable in class com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution

the shape parameter

k - Variable in class com.numericalmethod.suanshu.stats.test.HypothesisTest

number of groups of observations

K2 - Variable in class com.numericalmethod.suanshu.stats.test.distribution.normality.DAgostino

test statistics K²

Kernel - Class in com.numericalmethod.suanshu.matrix.doubles.linearsystem

The kernel or null space (also nullspace) of a matrix A is the set of all vectors x for which Ax = 0 The kernel of a matrix with n columns is a linear subspace of n-dimensional Euclidean space.

Kernel(Matrix, Kernel.Method, double) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel

Construct the kernel of a matrix.

Kernel(Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel

Construct the kernel of a matrix.

Kernel.Method - Enum in com.numericalmethod.suanshu.matrix.doubles.linearsystem

the methods available to do the LU decomposition

keys() - Method in class com.numericalmethod.suanshu.datastructure.MathTable

Get a copy of the set of row index values.

keySet() - Method in class com.numericalmethod.suanshu.number.Counter

Get the set of numbers the counter has seen.

KolmogorovDistribution - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

KolmogorovDistribution distribution is the distribution of the KolmogorovDistribution–Smirnov statistic.

KolmogorovDistribution(int, int, boolean) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution

Construct a KolmogorovDistribution distribution for a sample size n.

KolmogorovDistribution(int) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution

Construct a KolmogorovDistribution distribution for a sample size n.

KolmogorovOneSidedDistribution - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

Compute Pn(ε) = Pr{F(x) < min{Fn(x) + ε, 1}, for all x}, i.e., the probability that F(x) is dominated by the upper confidence contour.

KolmogorovOneSidedDistribution(int, int) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution

Construct a one-sided Kolmogorov distribution.

KolmogorovOneSidedDistribution(int) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution

Construct a one-sided Kolmogorov distribution.

KolmogorovSmirnov - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

The Kolmogorov–Smirnov test (KS test) is used to compare a sample with a reference probability distribution (one-sample KS test), or to compare two samples (two-sample KS test).

KolmogorovSmirnov.Side - Enum in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

the type of Kolmogorov-Smirnov statistic available

KolmogorovSmirnov.Type - Enum in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

the types of Kolmogorov-Smirnov tests available

KolmogorovSmirnov1Sample - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

The one-sample KolmogorovDistribution–Smirnov test compares a sample with a reference probability distribution.

KolmogorovSmirnov1Sample(double[], UnivariateDistribution, KolmogorovSmirnov.Side) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov1Sample

Construct an one-sample KolmogorovDistribution-Smirnov test.

KolmogorovSmirnov2Samples - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

The two-sample Kolmogorov–Smirnov test tests for the equality of the distributions of two samples (two-sample KS test).

KolmogorovSmirnov2Samples(double[], double[], KolmogorovSmirnov.Side) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov2Samples

Construct a two-sample Kolmogorov-Smirnov test.

KolmogorovTwoSamplesDistribution - Class in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

Compute the p-values for the generalized (conditionally distribution-free) Smirnov homogeneity test.

KolmogorovTwoSamplesDistribution(int, int, double[], KolmogorovTwoSamplesDistribution.Side, int) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Construct a two-sample KolmogorovDistribution distribution.

KolmogorovTwoSamplesDistribution(int, int, KolmogorovTwoSamplesDistribution.Side, int) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Construct a two-sample KolmogorovDistribution distribution, assuming that there is no tie in the samples.

KolmogorovTwoSamplesDistribution(int, int, KolmogorovTwoSamplesDistribution.Side, double[]) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Construct a two-sample KolmogorovDistribution distribution.

KolmogorovTwoSamplesDistribution(double[], double[], KolmogorovTwoSamplesDistribution.Side) - Constructor for class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Construct a two-sample KolmogorovDistribution distribution.

KolmogorovTwoSamplesDistribution.Side - Enum in com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

the types of KolmogorovDistribution two-sample test available

KroneckerProduct - Class in com.numericalmethod.suanshu.matrix.doubles.operation

Given an m-by-n matrix A and a p-by-q matrix B, their Kronecker product C, also called their matrix direct product, is an (mp)-by-(nq) matrix with elements defined by c_st = a_ij b_kl where s = p(i - 1) + k t = q(j - 1) + l

KroneckerProduct(Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.operation.KroneckerProduct

Construct the Kronecker product of two matrices.

KruskalWallis - Class in com.numericalmethod.suanshu.stats.test.rank

The Kruskal–Wallis test is a non-parametric method for testing equality of population medians among groups.

KruskalWallis(double[]...) - Constructor for class com.numericalmethod.suanshu.stats.test.rank.KruskalWallis

Construct a Kruskal-Wallis test for the equality of median of groups.

Kurtosis - Class in com.numericalmethod.suanshu.stats.descriptive.moment

This defines the excess kurtosis.

Kurtosis() - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis

Construct an empty Kurtosis calculator.

Kurtosis(double[]) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis

Construct a Kurtosis calculator, initialized with a sample.

Kurtosis(Kurtosis) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis

Copy constructor.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution

Get the excess kurtosis of this distribution.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution

Get the excess kurtosis of this distribution.

kurtosis() - Method in interface com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution

Get the excess kurtosis of this distribution.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution

Deprecated. Not supported yet.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution

Deprecated. Not supported yet.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Deprecated. Not supported yet.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution

Deprecated. Not supported yet.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution

Deprecated. Not supported yet.

kurtosis() - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution

Deprecated. Not supported yet.