Jackknife.AbstractStatistic (dsiutil 2.6.0)

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 Detail
  - AbstractStatistic
```
public 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.