dev.nm.stat.descriptive.moment.weighted

Class WeightedMedian

java.lang.Object

dev.nm.stat.descriptive.moment.weighted.WeightedMedian

All Implemented Interfaces:

Statistic

public class WeightedMedian
extends Object
implements Statistic

A weighted median of a sample is the 50% weighted percentile.It was first proposed by F. Y. Edgeworth in 1888.Like the median, it is useful as an estimator of central tendency, robust against outliers. It allows for non-uniform statistical weights related to, e.g., varying precision measurements in the sample.

Since:

2019/11/29

See Also:

Wikipedia: Weighted median

Constructor Summary

Constructors

Constructor and Description
WeightedMedian(double[] x, double[] w) Finds the weighted median of an array. x and w are sorted.

Method Summary

Modifier and Type	Method and Description
void	addData(double... arg0) 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.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WeightedMedian

public WeightedMedian(double[] x,
                      double[] w)

Finds the weighted median of an array. x and w are sorted.

Parameters:

x - the data

w - the weights

Method Detail

value

public double value()

Description copied from interface: Statistic

Get the value of the statistic.

Specified by:

value in interface Statistic

Returns:

the statistic

N

public long N()

Description copied from interface: Statistic

Get the size of the sample.

Specified by:

N in interface Statistic

Returns:

the sample size

addData

public void addData(double... arg0)

Description copied from interface: Statistic

Recompute the statistic with more data, incrementally if possible.

Specified by:

addData in interface Statistic

Parameters:

arg0 - an array of new items