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ExtendedStatistics Methods

The ExtendedStatistics type exposes the following members.

Methods
 NameDescription
Public methodAdd Adds a data point to the statistics.
(Overrides QuickStatisticsAdd(Double))
Public methodAddRange(IEnumerableDouble) Adds a sequence of data points to the statistics.
Public methodAddRange(ReadOnlySpanDouble) Adds a span of data points to the statistics.
Public methodClear Resets all accumulated statistics and removes all stored data points.
(Overrides QuickStatisticsClear)
Public methodCovariance(ExtendedStatistics) Calculates the sample covariance with another sequence.
Public methodCovariance(IEnumerableDouble) Calculates the sample covariance with another sequence.
Public methodEmpiricalCDF Calculates the empirical cumulative distribution value for a given sample value.
Public methodEmpiricalCDFFunc Creates an empirical cumulative distribution function.
Public methodEmpiricalInvCDF Calculates the inverse empirical cumulative distribution value.
Public methodEmpiricalInvCDFFunc Creates an inverse empirical cumulative distribution function.
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodFiveNumberSummary Calculates the five-number summary.
Public methodGeometricMean Calculates the geometric mean.
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodHarmonicMean Calculates the harmonic mean.
Public methodInterquartileRange Calculates the interquartile range.
Public methodKurtosis Calculates the sample kurtosis.
Public methodLowerQuartile Calculates the lower quartile.
Public methodMaximumAbsolute Calculates the maximum absolute value.
Public methodMeanStandardDeviation Calculates the mean and sample standard deviation.
Public methodMeanVariance Calculates the mean and sample variance.
Public methodMedian Calculates the median of the data set.
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodMinimumAbsolute Calculates the minimum absolute value.
Public methodMovingAverage Calculates a moving average over the data points.
Public methodPercentile Calculates the percentile value.
Public methodPercentileFunc Creates a percentile function.
Public methodPopulationCovariance(ExtendedStatistics) Calculates the population covariance with another sequence.
Public methodPopulationCovariance(IEnumerableDouble) Calculates the population covariance with another sequence.
Public methodPopulationKurtosis Calculates the population kurtosis.
Public methodPopulationSkewness Calculates the population skewness.
Public methodPopulationSkewnessKurtosis Calculates population skewness and population kurtosis.
Public methodQuantile Calculates a quantile for the given probability.
Public methodQuantileCustom Calculates a quantile for the given probability and quantile definition.
Public methodQuantileCustomFunc Creates a quantile function using the specified quantile definition.
Public methodQuantileFunc Creates a quantile function.
Public methodQuantileRank Calculates the quantile rank of a value.
Public methodQuantileRankFunc Creates a quantile-rank function.
Public methodRanks Calculates the ranks of all values.
Public methodRootMeanSquare Calculates the root mean square.
Public methodSkewness Calculates the sample skewness.
Public methodSkewnessKurtosis Calculates sample skewness and sample kurtosis.
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
Public methodUpperQuartile Calculates the upper quartile.
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