org.eclipse.jetty.util.statistic

## Class SampleStatistic

- java.lang.Object
- - org.eclipse.jetty.util.statistic.SampleStatistic

-     public class SampleStatistic
      extends Object

  SampledStatistics

  Provides max, total, mean, count, variance, and standard deviation of continuous sequence of samples.

  Calculates estimates of mean, variance, and standard deviation characteristics of a sample using a non synchronized approximation of the on-line algorithm presented in Donald Knuth's Art of Computer Programming, Volume 2, Seminumerical Algorithms, 3rd edition, page 232, Boston: Addison-Wesley. that cites a 1962 paper by B.P. Welford that can be found by following the link http://www.jstor.org/pss/1266577

  This algorithm is also described in Wikipedia at http://en.wikipedia.org/w/index.php?title=Algorithms_for_calculating_variance§ion=4#On-line_algorithm

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `protected AtomicLong` | `_count`
    `protected AtomicLong` | `_max`
    `protected AtomicLong` | `_total`
    `protected AtomicLong` | `_totalVariance100`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `SampleStatistic()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `long` | `getCount()`
    `long` | `getMax()`
    `double` | `getMean()`
    `double` | `getStdDev()`
    `long` | `getTotal()`
    `double` | `getVariance()`
    `void` | `reset()`
    `void` | `set(long sample)`

    - ### Methods inherited from class java.lang.Object

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

- - ### Field Detail

    - #### _max

          protected final AtomicLong _max

    - #### _total

          protected final AtomicLong _total

    - #### _count

          protected final AtomicLong _count

    - #### _totalVariance100

          protected final AtomicLong _totalVariance100

  - ### Constructor Detail

    - #### SampleStatistic

          public SampleStatistic()

  - ### Method Detail

    - #### reset

          public void reset()

    - #### set

          public void set(long sample)

    - #### getMax

          public long getMax()

      Returns:
        the max value

    - #### getTotal

          public long getTotal()

    - #### getCount

          public long getCount()

    - #### getMean

          public double getMean()

    - #### getVariance

          public double getVariance()

    - #### getStdDev

          public double getStdDev()

Copyright © 1995-2015 Mort Bay Consulting. All Rights Reserved.