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 and Description
Jackknife.AbstractStatistic()

Method Summary

Methods

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

Methods inherited from class java.lang.Object

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

Constructor Detail

Jackknife.AbstractStatistic

public Jackknife.AbstractStatistic()

Method Detail

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.