All Classes and Interfaces

Class	Description
AlternativeHypothesis	Represents an alternative hypothesis for a hypothesis test.
BetaDistribution	Implementation of the beta distribution.
BinomialConfidenceInterval	Generate confidence intervals for a binomial proportion.
BinomialDistribution	Implementation of the binomial distribution.
BinomialTest	Implements binomial test statistics.
CauchyDistribution	Implementation of the Cauchy distribution.
ChiSquaredDistribution	Implementation of the chi-squared distribution.
ChiSquareTest	Implements chi-square test statistics.
ContinuityCorrection	Represents an optional adjustment that is made when a discrete distribution is approximated by a continuous distribution.
ContinuousDistribution	Interface for distributions on the reals.
ContinuousDistribution.Sampler	Distribution sampling functionality.
DataDispersion	Represents an assumption on the dispersion of data.
DiscreteDistribution	Interface for distributions on the integers.
DiscreteDistribution.Sampler	Distribution sampling functionality.
DoubleStatistic	Represents a state object for computing a statistic over double valued input(s).
DoubleStatistics	Statistics for double values.
DoubleStatistics.Builder	A builder for DoubleStatistics.
ExponentialDistribution	Implementation of the exponential distribution.
FDistribution	Implementation of the F-distribution.
FisherExactTest	Implements Fisher's exact test.
FoldedNormalDistribution	Implementation of the folded normal distribution.
GammaDistribution	Implementation of the gamma distribution.
GeometricDistribution	Implementation of the geometric distribution.
GeometricMean	Computes the geometric mean of the available values.
GTest	Implements G-test (Generalized Log-Likelihood Ratio Test) statistics.
GumbelDistribution	Implementation of the Gumbel distribution.
HypergeometricDistribution	Implementation of the hypergeometric distribution.
Inequality	Represents a non-equal comparison between two numbers.
Interval	Interface representing an interval.
IntMax	Returns the maximum of the available values.
IntMean	Computes the arithmetic mean of the available values.
IntMin	Returns the minimum of the available values.
IntStandardDeviation	Computes the standard deviation of the available values.
IntStatistic	Represents a state object for computing a statistic over int valued input(s).
IntStatistics	Statistics for int values.
IntStatistics.Builder	A builder for IntStatistics.
IntSum	Returns the sum of the available values.
IntSumOfSquares	Returns the sum of the squares of the available values.
IntVariance	Computes the variance of the available values.
KolmogorovSmirnovTest	Implements the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest.OneResult	Result for the one-sample Kolmogorov-Smirnov test.
KolmogorovSmirnovTest.TwoResult	Result for the two-sample Kolmogorov-Smirnov test.
Kurtosis	Computes the kurtosis of the available values.
LaplaceDistribution	Implementation of the Laplace distribution.
LevyDistribution	Implementation of the Lévy distribution.
LogisticDistribution	Implementation of the logistic distribution.
LogNormalDistribution	Implementation of the log-normal distribution.
LogUniformDistribution	Implementation of the log-uniform distribution.
LongMax	Returns the maximum of the available values.
LongMean	Computes the arithmetic mean of the available values.
LongMin	Returns the minimum of the available values.
LongStandardDeviation	Computes the standard deviation of the available values.
LongStatistic	Represents a state object for computing a statistic over long valued input(s).
LongStatistics	Statistics for long values.
LongStatistics.Builder	A builder for LongStatistics.
LongSum	Returns the sum of the available values.
LongSumOfSquares	Returns the sum of the squares of the available values.
LongVariance	Computes the variance of the available values.
MannWhitneyUTest	Implements the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest.Result	Result for the Mann-Whitney U test.
Max	Returns the maximum of the available values.
Mean	Computes the arithmetic mean of the available values.
Median	Returns the median of the available values.
Min	Returns the minimum of the available values.
NakagamiDistribution	Implementation of the Nakagami distribution.
NaNPolicy	Defines the policy for NaN values found in data.
NaNStrategy	Strategies for handling NaN values in rank transformations.
NaturalRanking	Ranking based on the natural ordering on floating-point values.
NormalConfidenceInterval	Generate confidence intervals for a normally distributed population.
NormalDistribution	Implementation of the normal (Gaussian) distribution.
OneWayAnova	Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova.Result	Result for the one-way ANOVA.
ParetoDistribution	Implementation of the Pareto (Type I) distribution.
PascalDistribution	Implementation of the Pascal distribution.
PoissonDistribution	Implementation of the Poisson distribution.
Product	Returns the product of the available values.
PValueMethod	Represents a method for computing a p-value for a test statistic.
Quantile	Provides quantile computation.
Quantile.EstimationMethod	Estimation methods for a quantile.
RankingAlgorithm	Interface representing a rank transformation.
SignificanceResult	Contains the result of a test for significance.
Skewness	Computes the skewness of the available values.
StandardDeviation	Computes the standard deviation of the available values.
Statistic	A statistic that can be computed on univariate data, for example a stream of double values.
StatisticAccumulator<T>	A mutable result container that accumulates a StatisticResult.
StatisticResult	Represents the result of a statistic computed over a set of values.
StatisticsConfiguration	Configuration for computation of statistics.
Sum	Returns the sum of the available values.
SumOfLogs	Returns the sum of the natural logarithm of available values.
SumOfSquares	Returns the sum of the squares of the available values.
TDistribution	Implementation of Student's t-distribution.
TiesStrategy	Strategies for handling tied values in rank transformations.
TrapezoidalDistribution	Implementation of the trapezoidal distribution.
TriangularDistribution	Implementation of the triangular distribution.
TruncatedNormalDistribution	Implementation of the truncated normal distribution.
TTest	Implements Student's t-test statistics.
TTest.Result	Result for the t-test.
UnconditionedExactTest	Implements an unconditioned exact test for a contingency table.
UnconditionedExactTest.Method	Define the method to determine the more extreme tables.
UnconditionedExactTest.Result	Result for the unconditioned exact test.
UniformContinuousDistribution	Implementation of the uniform distribution.
UniformDiscreteDistribution	Implementation of the uniform discrete distribution.
Variance	Computes the variance of the available values.
WeibullDistribution	Implementation of the Weibull distribution.
WilcoxonSignedRankTest	Implements the Wilcoxon signed-rank test.
WilcoxonSignedRankTest.Result	Result for the Wilcoxon signed-rank test.
ZipfDistribution	Implementation of the Zipf distribution.