Sample Methods |
The Sample type exposes the following members.
Name | Description | |
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Add(IEnumerableDouble) |
Adds multiple values to the sample.
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Add(Double) |
Adds a value to the sample.
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Add(Double) |
Adds multiple values to the sample.
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CentralMoment |
Computes the given sample central moment.
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Clear |
Remove all values from the sample.
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Contains |
Determines whether the sample contains the given value.
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Copy |
Copies the sample.
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
FisherFTest |
Tests whether the variances of two samples are compatible.
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GetEnumerator |
Gets an enumerator of sample values.
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GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
InverseLeftProbability |
Gets the sample value corresponding to a given percentile score.
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KolmogorovSmirnovTest(ContinuousDistribution) |
Tests whether the sample is compatible with the given distribution.
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KolmogorovSmirnovTest(Sample, Sample) |
Tests whether the sample is compatible with another sample.
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KruskalWallisTest(Sample) |
Performs a Kruskal-Wallis test on the given samples.
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KruskalWallisTest(IReadOnlyListSample) |
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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MaximumLikelihoodFit |
Performs a maximum likelihood fit.
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OneWayAnovaTest(Sample) |
Performs a one-way analysis of variance (ANOVA).
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OneWayAnovaTest(IReadOnlyCollectionSample) |
Performs a one-way analysis of variance (ANOVA).
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PopulationCentralMoment |
Estimates the given population central moment from the sample.
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PopulationRawMoment |
Estimates the given population raw moment from the sample.
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RawMoment |
Computes the given sample raw moment.
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Remove |
Removes a given value from the sample.
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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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StudentTTest(Double) |
Tests whether the sample mean is compatible with the reference mean.
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StudentTTest(Sample, Sample) |
Tests whether one sample mean is compatible with another sample mean.
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ToString | Returns a string that represents the current object. (Inherited from Object.) | |
Transform |
Transforms all values using a user-supplied function.
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TwoWayAnovaTest |
Performs a two-way analysis of variance.
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ZTest |
Performs a z-test.
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Name | Description | |
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CentralMoment |
Computes the given sample central moment.
(Defined by Univariate.) | |
CorrectedStandardDeviation |
Computes the Bessel-corrected standard deviation.
(Defined by Univariate.) | |
Maximum |
Finds the maximum value.
(Defined by Univariate.) | |
Mean |
Computes the sample mean.
(Defined by Univariate.) | |
Minimum |
Finds the minimum value.
(Defined by Univariate.) | |
PopulationCentralMoment |
Estimates the given central moment of the underlying population.
(Defined by Univariate.) | |
PopulationMean |
Estimates the mean of the underlying population.
(Defined by Univariate.) | |
PopulationRawMoment |
Estimates the given raw moment of the underlying population.
(Defined by Univariate.) | |
PopulationStandardDeviation |
Estimates of the standard deviation of the underlying population.
(Defined by Univariate.) | |
PopulationVariance |
Estimates of the variance of the underlying population.
(Defined by Univariate.) | |
RawMoment |
Computes the given sample raw moment.
(Defined by Univariate.) | |
SignTest |
Tests whether the sample median is compatible with the given reference value.
(Defined by Univariate.) | |
Skewness |
Computes the sample skewness.
(Defined by Univariate.) | |
StandardDeviation |
Computes the sample standard deviation.
(Defined by Univariate.) | |
StudentTTest |
Tests whether the sample mean is compatible with the reference mean.
(Defined by Univariate.) | |
Variance |
Computes the sample variance.
(Defined by Univariate.) | |
ZTest |
Performs a z-test to test whether the given sample is compatible with the given normal reference population.
(Defined by Univariate.) |