| Add(Double) | Adds a value to the sample. |
| Add(Double) | Adds multiple values to the sample. |
| Add(IEnumerableDouble) | Adds multiple values to the sample. |
| CentralMoment | Computes the given sample central moment. |
| Clear | Remove all values from the sample. |
| Contains | Determines whether the sample contains the given value. |
| Copy | Copies the sample. |
| 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. |
| GetEnumerator | Gets an enumerator of sample values. |
| 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. |
| KolmogorovSmirnovTest(ContinuousDistribution) | Tests whether the sample is compatible with the given distribution. |
| KolmogorovSmirnovTest(Sample, Sample) | Tests whether the sample is compatible with another sample. |
| KruskalWallisTest(IReadOnlyListSample) | Performs a Kruskal-Wallis test on the given samples. |
| KruskalWallisTest(Sample) | 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. |
| MaximumLikelihoodFit | Performs a maximum likelihood fit. |
| OneWayAnovaTest(IReadOnlyCollectionSample) | Performs a one-way analysis of variance (ANOVA). |
| OneWayAnovaTest(Sample) | Performs a one-way analysis of variance (ANOVA). |
| PopulationCentralMoment | Estimates the given population central moment from the sample. |
| PopulationRawMoment | Estimates the given population raw moment from the sample. |
| RawMoment | Computes the given sample raw moment. |
| Remove | Removes a given value from the sample. |
| ShapiroFranciaTest | Performs a Shapiro-Francia test of normality on the sample. |
| SignTest | Tests whether the sample median is compatible with the given reference value. |
| StudentTTest(Double) | Tests whether the sample mean is compatible with the reference mean. |
| StudentTTest(Sample, Sample) | Tests whether one sample mean is compatible with another sample mean. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
| Transform | Transforms all values using a user-supplied function. |
| TwoWayAnovaTest | Performs a two-way analysis of variance. |
| ZTest | Performs a z-test. |
| Autocovariance |
Computes the auto-covariance for all lags.
(Defined by Series) |
| Autocovariance |
Computes the auto-covariance of the series at the given lag.
(Defined by Series) |
| CentralMoment |
Computes the given sample central moment.
(Defined by Univariate) |
| CorrectedStandardDeviation |
Computes the Bessel-corrected standard deviation.
(Defined by Univariate) |
| CorrelationCoefficient |
Computes the correlation coefficient between the two variables.
(Defined by Bivariate) |
| Covariance |
Computes the covariance of the two variables.
(Defined by Bivariate) |
| FitToAR1 |
Fits an AR(1) model to the time series.
(Defined by Series) |
| FitToBeta |
Finds the Beta distribution that best fits the given sample.
(Defined by Univariate) |
| FitToExponential |
Finds the exponential distribution that best fits the given sample.
(Defined by Univariate) |
| FitToGamma |
Finds the Gamma distribution that best fits the given sample.
(Defined by Univariate) |
| FitToGumbel |
Find the Gumbel distribution that best fit the given sample.
(Defined by Univariate) |
| FitToLognormal |
Finds the log-normal distribution that best fits the given sample.
(Defined by Univariate) |
| FitToMA1 |
Fits an MA(1) model to the time series.
(Defined by Series) |
| FitToNormal |
Finds the normal distribution that best fits the given sample.
(Defined by Univariate) |
| FitToRayleigh |
Finds the Rayleigh distribution that best fits the given sample.
(Defined by Univariate) |
| FitToWald |
Finds the Wald distribution that best fits a sample.
(Defined by Univariate) |
| FitToWeibull |
Finds the Weibull distribution that best fits the given sample.
(Defined by Univariate) |
| InterquartileRange |
Finds the interquartile range.
(Defined by Univariate) |
| InverseLeftProbability |
Finds the sample value corresponding to a given percentile.
(Defined by Univariate) |
| KolmogorovSmirnovTest |
Tests whether the sample is compatible with the given distribution.
(Defined by Univariate) |
| KuiperTest |
Tests whether the sample is compatible with the given distribution.
(Defined by Univariate) |
| LeftProbability |
Gets the fraction of values equal to or less than the given value.
(Defined by Univariate) |
| LinearRegression |
Computes the best-fit linear regression from the data.
(Defined by Bivariate) |
| LjungBoxTest |
Performs a Ljung-Box test for non-correlation.
(Defined by Series) |
| LjungBoxTest |
Performs a Ljung-Box test for non-correlation with the given number of lags.
(Defined by Series) |
| Maximum |
Finds the maximum value.
(Defined by Univariate) |
| MaximumLikelihoodFit |
Finds the parameters that make an arbitrary, parameterized distribution best fit the sample.
(Defined by Univariate) |
| Mean |
Computes the sample mean.
(Defined by Univariate) |
| Median |
Finds the median.
(Defined by Univariate) |
| Minimum |
Finds the minimum value.
(Defined by Univariate) |
| MultiLinearRegression |
Performs a multivariate linear regression on the named columns.
(Defined by Multivariate) |
| MultiLinearRegression |
Performs a multivariate linear regression.
(Defined by Multivariate) |
| NonlinearRegression |
Finds the parameterized function that best fits the data.
(Defined by Bivariate) |
| NonlinearRegression |
Finds the parameterized function that best fits the data.
(Defined by Bivariate) |
| PolynomialRegression |
Computes the polynomial of given degree which best fits the data.
(Defined by Bivariate) |
| PopulationCentralMoment |
Estimates the given central moment of the underlying population.
(Defined by Univariate) |
| PopulationCovariance |
Estimates the covariance of the two variables in the population.
(Defined by Bivariate) |
| 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) |
| PowerSpectrum |
Computes the power spectrum of the time series.
(Defined by Series) |
| RawMoment |
Computes the given sample raw moment.
(Defined by Univariate) |
| SeriesPopulationStatistics |
Computes estimates for the moments of the population from which the time series is drawn.
(Defined by Series) |
| ShapiroFranciaTest |
Performs a Shapiro-Francia test of normality on the sample.
(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) |
| Trimean |
Finds the tri-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) |