Package jsl.utilities.statistic

Interface WeightedStatisticIfc

  • All Superinterfaces:
    GetCSVStatisticIfc, GetNameIfc, IdentityIfc
    All Known Implementing Classes:
    WeightedStatistic
    public interface WeightedStatisticIfc
extends IdentityIfc, GetCSVStatisticIfc
    If the observation or the weight is * infinite or NaN, then the observation should not be recorded and the number of missing observations * is incremented. If the observed weight is negative or 0.0, then the observation should not be recorded and * the number of missing observations is incremented.

    • Method Detail

      • getCount

        double getCount()
        Gets the count of the number of the observations.
        Returns:
        A double representing the count

      • getMax

        double getMax()
        Gets the maximum of the observations.
        Returns:
        A double representing the maximum

      • getMin

        double getMin()
        Gets the minimum of the observations.
        Returns:
        A double representing the minimum

      • getSumOfWeights

        double getSumOfWeights()
        Gets the sum of the observed weights.
        Returns:
        A double representing the sum of the weights

      • getAverage

        double getAverage()
        Gets the weighted average of the collected observations.
        Returns:
        A double representing the weighted average or Double.NaN if no observations.

      • getWeightedSum

        double getWeightedSum()
        Gets the weighted sum of observations observed.
        Returns:
        A double representing the weighted sum

      • getWeightedSumOfSquares

        double getWeightedSumOfSquares()
        Gets the weighted sum of squares for observations observed.
        Returns:
        A double representing the weighted sum of squares

      • reset

        void reset()
        Clears all the statistical accumulators

      • getLastValue

        double getLastValue()
        Gets the last observed data point
        Returns:
        A double representing the last observed observation

      • getLastWeight

        double getLastWeight()
        Gets the last observed weight
        Returns:
        A double representing the last observed weight

      • getNumberMissing

        double getNumberMissing()
        When a data point having the value of (Double.NaN, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY) are presented it is excluded from the summary statistics and the number of missing points is noted. If the weight is infinite or less than or equal to zero, then the data point should not be recorded. This method reports the number of missing points that occurred during the collection.
        Returns:
        the number missing

      • getUnWeightedSum

        double getUnWeightedSum()
        Returns:
        the unweighted sum of all of the observed data

      • getUnWeightedAverage

        default double getUnWeightedAverage()
        Returns:
        the unweighted average of all the observed data