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

Interface WeightedEvaluation

All Known Implementing Classes:

Mean, Product, Variance

public interface WeightedEvaluation

Weighted evaluation for statistics.

Since:

2.1

Version:

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

Method Summary

Methods

Modifier and Type	Method and Description
double	evaluate(double[] values, double[] weights) Returns the result of evaluating the statistic over the input array, using the supplied weights.
double	evaluate(double[] values, double[] weights, int begin, int length) Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.

Method Detail

evaluate

double evaluate(double[] values,
              double[] weights)

Returns the result of evaluating the statistic over the input array, using the supplied weights.

Parameters:

values - input array

weights - array of weights

Returns:

the value of the weighted statistic applied to the input array

Throws:

MathIllegalArgumentException - if either array is null, lengths do not match, weights contain NaN, negative or infinite values, or weights does not include at least on positive value

evaluate

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

Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.

Parameters:

values - the input array

weights - array of weights

begin - the index of the first element to include

length - the number of elements to include

Returns:

the value of the weighted statistic applied to the included array entries

Throws:

MathIllegalArgumentException - if either array is null, lengths do not match, indices are invalid, weights contain NaN, negative or infinite values, or weights does not include at least on positive value