UnivariateStatistic (Hipparchus 1.4 API)

All Superinterfaces:

MathArrays.Function

All Known Subinterfaces:

StorelessUnivariateStatistic

All Known Implementing Classes:

AbstractStorelessUnivariateStatistic, AbstractUnivariateStatistic, GeometricMean, Kurtosis, Max, Mean, Median, Min, Percentile, Product, PSquarePercentile, RandomPercentile, SecondMoment, SemiVariance, Skewness, StandardDeviation, Sum, SumOfLogs, SumOfSquares, Variance
```
public interface UnivariateStatistic
extends MathArrays.Function
```
Base interface implemented by all statistics.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`UnivariateStatistic`	`copy()`	Returns a copy of the statistic with the same internal state.
`default double`	`evaluate(double[] values)`	Returns the result of evaluating the statistic over the input array.
`double`	`evaluate(double[] values, int begin, int length)`	Returns the result of evaluating the statistic over the specified entries in the input array.

- Method Detail
  - evaluate
```
default double evaluate(double[] values)
                 throws MathIllegalArgumentException
```
    Returns the result of evaluating the statistic over the input array.
    The default implementation delegates to evaluate(double[], int, int) in the natural way.
    
    Specified by:
    
    evaluate in interface MathArrays.Function
    
    Parameters:
    
    values - input array
    
    Returns:
    
    the value of the statistic applied to the input array
    
    Throws:
    
    MathIllegalArgumentException - if values is null
  - evaluate
```
double evaluate(double[] values,
                int begin,
                int length)
         throws MathIllegalArgumentException
```
    Returns the result of evaluating the statistic over the specified entries in the input array.
    
    Specified by:
    
    evaluate in interface MathArrays.Function
    
    Parameters:
    
    values - the input array
    
    begin - the index of the first element to include
    
    length - the number of elements to include
    
    Returns:
    
    the value of the statistic applied to the included array entries
    
    Throws:
    
    MathIllegalArgumentException - if values is null or the indices are invalid
  - copy
```
UnivariateStatistic copy()
```
    Returns a copy of the statistic with the same internal state.
    
    Returns:
    
    a copy of the statistic