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