Class SecondMoment

All Implemented Interfaces:
Serializable, StorelessUnivariateStatistic, UnivariateStatistic, MathArrays.Function

Computes a statistic related to the Second Central Moment. Specifically, what is computed is the sum of squared deviations from the sample mean.

The following recursive updating formula is used:

Let

  • dev = (current obs - previous mean)
  • n = number of observations (including current obs)
Then

new value = old value + dev^2 * (n -1) / n.

Returns Double.NaN if no data values have been added and returns 0 if there is just one value in the data set. Note that Double.NaN may also be returned if the input includes NaN and / or infinite values.

Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.

See Also:
  • Field Details

    • m2

      protected double m2
      second moment of values that have been added
    • n

      protected long n
      Count of values that have been added
    • m1

      protected double m1
      First moment of values that have been added
    • dev

      protected double dev
      Deviation of most recently added value from previous first moment. Retained to prevent repeated computation in higher order moments.
    • nDev

      protected double nDev
      Deviation of most recently added value from previous first moment, normalized by previous sample size. Retained to prevent repeated computation in higher order moments
  • Constructor Details

  • Method Details