DiscreteQuantileMethod |
Implementation of a quantile estimator.
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ExcelInterpolationQuantileMethod |
Implementation of a quantile estimator.
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ExponentiallyWeightedInterpolationQuantileMethod |
Implementation of a quantile and expected shortfall estimator for series with exponentially weighted probabilities.
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GeometricMeanCalculator |
Calculates the geometric mean of a series of data.
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IndexAboveQuantileMethod |
Implementation of a quantile estimator.
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InterpolationQuantileMethod |
Implementation of a quantile estimator.
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LognormalFisherKurtosisFromVolatilityCalculator |
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LognormalSkewnessFromVolatilityCalculator |
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MeanCalculator |
Calculates the arithmetic mean of a series of data.
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MedianCalculator |
Calculates the median of a series of data.
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MidwayInterpolationQuantileMethod |
Implementation of a quantile estimator.
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ModeCalculator |
The mode of a series of data is the value that occurs more frequently in the data set.
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NearestIndexQuantileMethod |
Implementation of a quantile estimator.
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PercentileCalculator |
For a series of data $x_1, x_2, \dots, x_n$, the percentile is the value $x$
below which a certain percentage of the data fall.
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PopulationStandardDeviationCalculator |
Calculates the population standard deviation of a series of data.
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PopulationVarianceCalculator |
Calculates the population variance of a series of data.
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QuantileCalculationMethod |
Abstract method to estimate quantiles and expected shortfalls from sample observations.
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QuantileResult |
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QuantileResult.Meta |
The meta-bean for QuantileResult .
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SampleFisherKurtosisCalculator |
The sample Fisher kurtosis gives a measure of how heavy the tails of a distribution are
with respect to the normal distribution (which has a Fisher kurtosis of zero).
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SampleInterpolationQuantileMethod |
Implementation of a quantile estimator.
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SamplePlusOneInterpolationQuantileMethod |
Implementation of a quantile estimator.
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SamplePlusOneNearestIndexQuantileMethod |
Implementation of a quantile estimator.
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SampleSkewnessCalculator |
The sample skewness gives a measure of the asymmetry of the probability
distribution of a variable.
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SampleStandardDeviationCalculator |
Calculates the sample standard deviation of a series of data.
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SampleVarianceCalculator |
Calculates the sample variance of a series of data.
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