K - 索引

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K

K - 类中的静态变量 org.hipparchus.complex.Quaternion: k
K(Complex) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralComplexTest
K(FieldComplex<Binary64>) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralFieldComplexTest
K(T) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralAbstractComplexTest
KalmanFilter<T> - org.hipparchus.filtering.kalman中的接口: Interface representing a Kalman filter.
KendallsCorrelation - org.hipparchus.stat.correlation中的类: Implementation of Kendall's Tau-b rank correlation.
KendallsCorrelation() - 类的构造器 org.hipparchus.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation instance without data.
KendallsCorrelation(double[][]) - 类的构造器 org.hipparchus.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
KendallsCorrelation(RealMatrix) - 类的构造器 org.hipparchus.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
KendallsCorrelationTest - org.hipparchus.stat.correlation中的类: Test cases for Kendall's Tau rank correlation.
KendallsCorrelationTest() - 类的构造器 org.hipparchus.stat.correlation.KendallsCorrelationTest
key() - 类中的方法 org.hipparchus.util.OpenIntToDoubleHashMap.Iterator: Get the key of current entry.
key() - 类中的方法 org.hipparchus.util.OpenIntToFieldHashMap.Iterator: Get the key of current entry.
KMeansPlusPlusClusterer<T> - org.hipparchus.clustering中的类: Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(int) - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClusterer: Build a clusterer.
KMeansPlusPlusClusterer(int, int) - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClusterer: Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure) - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClusterer: Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClusterer: Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClusterer: Build a clusterer.
KMeansPlusPlusClusterer.EmptyClusterStrategy - org.hipparchus.clustering中的枚举类: Strategies to use for replacing an empty cluster.
KMeansPlusPlusClustererTest - org.hipparchus.clustering中的类
KMeansPlusPlusClustererTest() - 类的构造器 org.hipparchus.clustering.KMeansPlusPlusClustererTest
knots - 类中的变量 org.hipparchus.analysis.polynomials.PolynomialSplineFunctionTest: Knot points
knotTolerance - 类中的变量 org.hipparchus.analysis.interpolation.UnivariateInterpolatorAbstractTest: error tolerance for spline interpolator value at knot points
kolmogorovSmirnovStatistic(double[], double[]) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.
kolmogorovSmirnovStatistic(double[], double[]) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.
kolmogorovSmirnovStatistic(RealDistribution, double[]) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
kolmogorovSmirnovStatistic(RealDistribution, double[]) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
kolmogorovSmirnovTest(double[], double[]) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[]) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[], boolean) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[], boolean) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(RealDistribution, double[]) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[]) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[], double) - 类中的静态方法 org.hipparchus.stat.inference.InferenceTestUtils: Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[], double) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
KolmogorovSmirnovTest - org.hipparchus.stat.inference中的类: Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest() - 类的构造器 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Construct a KolmogorovSmirnovTest instance.
KolmogorovSmirnovTest(long) - 类的构造器 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Construct a KolmogorovSmirnovTest instance providing a seed for the PRNG used by the KolmogorovSmirnovTest.bootstrap(double[], double[], int) method.
KolmogorovSmirnovTestTest - org.hipparchus.stat.inference中的类: Test cases for KolmogorovSmirnovTest.
KolmogorovSmirnovTestTest() - 类的构造器 org.hipparchus.stat.inference.KolmogorovSmirnovTestTest
Kprime(Complex) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralComplexTest
Kprime(FieldComplex<Binary64>) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralFieldComplexTest
Kprime(T) - 类中的方法 org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegralAbstractComplexTest
kroneckerProduct(RealMatrix) - 类中的方法 org.hipparchus.linear.Array2DRowRealMatrix: Kronecker product of the current matrix and the parameter matrix.
KS_SUM_CAUCHY_CRITERION - 类中的静态变量 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Convergence criterion for KolmogorovSmirnovTest.ksSum(double, double, int)
ksSum(double, double, int) - 类中的方法 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed.
KthSelector - org.hipparchus.util中的类: A Simple K^th selector implementation to pick up the K^th ordered element from a work array containing the input numbers.
KthSelector() - 类的构造器 org.hipparchus.util.KthSelector: Constructor with default median of 3 pivoting strategy.
KthSelector(PivotingStrategy) - 类的构造器 org.hipparchus.util.KthSelector: Constructor with specified pivoting strategy
KthSelectorTest - org.hipparchus.util中的类
KthSelectorTest() - 类的构造器 org.hipparchus.util.KthSelectorTest
kurt - 类中的变量 org.hipparchus.stat.descriptive.moment.InteractionTest
kurt - 类中的变量 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest
Kurtosis - org.hipparchus.stat.descriptive.moment中的类: Computes the Kurtosis of the available values.
Kurtosis() - 类的构造器 org.hipparchus.stat.descriptive.moment.Kurtosis: Construct a Kurtosis.
Kurtosis(FourthMoment) - 类的构造器 org.hipparchus.stat.descriptive.moment.Kurtosis: Construct a Kurtosis from an external moment.
Kurtosis(Kurtosis) - 类的构造器 org.hipparchus.stat.descriptive.moment.Kurtosis: Copy constructor, creates a new Kurtosis identical to the original.
KurtosisTest - org.hipparchus.stat.descriptive.moment中的类: Test cases for the Kurtosis class.
KurtosisTest() - 类的构造器 org.hipparchus.stat.descriptive.moment.KurtosisTest

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常量字段值|所有程序包|所有类和接口|序列化表格