fr.cnes.sirius.patrius.math.stat.descriptive

Interface UnivariateStatistic

All Superinterfaces:

MathArrays.Function

All Known Subinterfaces:

StorelessUnivariateStatistic

All Known Implementing Classes:

AbstractStorelessUnivariateStatistic, AbstractUnivariateStatistic, GeometricMean, Kurtosis, Max, Mean, Median, Min, Percentile, Product, SecondMoment, SemiVariance, Skewness, StandardDeviation, Sum, SumOfLogs, SumOfSquares, Variance

public interface UnivariateStatistic
extends MathArrays.Function

Base interface implemented by all statistics.

Version:

$Id: UnivariateStatistic.java 18108 2017-10-04 06:45:27Z bignon $

Method Summary

Modifier and Type	Method and Description
UnivariateStatistic	copy() Returns a copy of the statistic with the same internal state.
double	evaluate(double[] values) Returns the result of evaluating the statistic over the input array.
double	evaluate(double[] values, int begin, int length) Returns the result of evaluating the statistic over the specified entries in the input array.

Method Detail

evaluate

double evaluate(double[] values)

Returns the result of evaluating the statistic over the input array.

Specified by:

evaluate in interface MathArrays.Function

Parameters:

values - input array

Returns:

the value of the statistic applied to the input array

Throws:

MathIllegalArgumentException - if values is null

evaluate

double evaluate(double[] values,
                int begin,
                int length)

Returns the result of evaluating the statistic over the specified entries in the input array.

Specified by:

evaluate in interface MathArrays.Function

Parameters:

values - the input array

begin - the index of the first element to include

length - the number of elements to include

Returns:

the value of the statistic applied to the included array entries

Throws:

MathIllegalArgumentException - if values is null or the indices are invalid

copy

UnivariateStatistic copy()

Returns a copy of the statistic with the same internal state.

Returns:

a copy of the statistic