Package dev.nm.stat.descriptive
Interface Statistic
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- All Known Implementing Classes:
Covariance
,KendallRankCorrelation
,Kurtosis
,Max
,Mean
,Min
,Moments
,Quantile
,Skewness
,SpearmanRankCorrelation
,SynchronizedStatistic
,Variance
,WeightedMean
,WeightedMedian
,WeightedVariance
public interface Statistic
A statistic (singular) is a single measure of some attribute of a sample (e.g., its arithmetic mean value). It is calculated by applying a function (statistical algorithm) to a sample, i.e., a set of data.- See Also:
- Wikipedia: Statistic
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description void
addData(double... data)
Recompute the statistic with more data, incrementally if possible.long
N()
Get the size of the sample.double
value()
Get the value of the statistic.
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