﻿Univariate Methods

# Univariate Methods

The Univariate type exposes the following members.

Methods
NameDescription
CentralMoment
Computes the given sample central moment.
ChiSquaredTest
Tests whether the sample is compatible with the given discrete distribution.
CorrectedStandardDeviation
Computes the Bessel-corrected standard deviation.
FisherFTest
Tests whether the variances of two samples are compatible.
FitToBeta
Finds the Beta distribution that best fits the given sample.
FitToExponential
Finds the exponential distribution that best fits the given sample.
FitToGamma
Finds the Gamma distribution that best fits the given sample.
FitToGumbel
Find the Gumbel distribution that best fit the given sample.
FitToLognormal
Finds the log-normal distribution that best fits the given sample.
FitToNormal
Finds the normal distribution that best fits the given sample.
FitToRayleigh
Finds the Rayleigh distribution that best fits the given sample.
FitToWald
Finds the Wald distribution that best fits a sample.
FitToWeibull
Finds the Weibull distribution that best fits the given sample.
InterquartileRange
Finds the interquartile range.
InverseLeftProbability
Finds the sample value corresponding to a given percentile.
Tests whether the sample is compatible with the given distribution.
Tests whether the sample is compatible with another sample.
Performs a Kruskal-Wallis test on the given samples.
Performs a Kruskal-Wallis test on the given samples.
KuiperTest
Tests whether the sample is compatible with the given distribution.
LeftProbability
Gets the fraction of values equal to or less than the given value.
MannWhitneyTest
Tests whether one sample median is compatible with another sample median.
Maximum
Finds the maximum value.
MaximumLikelihoodFit
Finds the parameters that make an arbitrary, parameterized distribution best fit the sample.
Mean
Computes the sample mean.
Median
Finds the median.
Minimum
Finds the minimum value.
Performs a one-way analysis of variance (ANOVA).
Performs a one-way analysis of variance (ANOVA).
PopulationCentralMoment
Estimates the given central moment of the underlying population.
PopulationMean
Estimates the mean of the underlying population.
PopulationRawMoment
Estimates the given raw moment of the underlying population.
PopulationStandardDeviation
Estimates of the standard deviation of the underlying population.
PopulationVariance
Estimates of the variance of the underlying population.
RawMoment
Computes the given sample raw moment.
ShapiroFranciaTest
Performs a Shapiro-Francia test of normality on the sample.
SignTest
Tests whether the sample median is compatible with the given reference value.
Skewness
Computes the sample skewness.
StandardDeviation
Computes the sample standard deviation.