Package it.unimi.dsi.stat

Class Jackknife.AbstractStatistic

java.lang.Object

it.unimi.dsi.stat.Jackknife.AbstractStatistic

All Implemented Interfaces:

Jackknife.Statistic

Enclosing class:

Jackknife

public abstract static class Jackknife.AbstractStatistic
extends Object
implements Jackknife.Statistic

An abstract statistic with a template method that accepts an array of doubles, returns an array of doubles and handles the data conversions that are necessary to call Jackknife.Statistic.compute(BigDecimal[], MathContext). Useful if you do not want to fiddle with BigDecimal.

Constructor Summary

Constructors

Constructor	Description
AbstractStatistic()

Method Summary

Modifier and Type	Method	Description
abstract double[]	compute(double[] sample)
BigDecimal[]	compute(BigDecimal[] bigSample, MathContext unused)	Computes the statistic.

Methods inherited from class java.lang.Object

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

Constructor Details

AbstractStatistic

public AbstractStatistic()

Method Details

compute

public abstract double[] compute(double[] sample)

compute

public BigDecimal[] compute(BigDecimal[] bigSample,
 MathContext unused)

Description copied from interface: Jackknife.Statistic

Computes the statistic.

Note that the BigDecimal instances passed to this method are guaranteed to have a scale set by the caller. If you have to perform divisions, please use the supplied MathContext.

Specified by:

compute in interface Jackknife.Statistic

Parameters:

bigSample - the samples over which the statistic must be computed.

unused - the mathematical context to be used when dividing big decimals.

Returns:

the resulting statistic.