com.numericalmethod.suanshu.stats.descriptive

Interface Statistic

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

Covariance, Kurtosis, Max, Mean, Min, Moments, Quantile, Skewness, SynchronizedStatistic, Variance

public interface Statistic
extends java.io.Serializable

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

Method Summary

Modifier and Type	Method and 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.

Method Detail

addData

void addData(double... data)

Recompute the statistic with more data, incrementally if possible.

Parameters:

data - an array of new items

value

double value()

Get the value of the statistic.

Returns:

the statistic

N

long N()

Get the size of the sample.

Returns:

the sample size