Examples of SumOfLogs

org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs for this collection of values.
Uses {@link java.lang.Math#log(double)} to compute the logs. Therefore,
- If any of values are < 0, the result is NaN.
- If all values are non-negative and less than Double.POSITIVE_INFINITY, but at least one value is 0, the result is Double.NEGATIVE_INFINITY.
- If both Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are among the values, the result is NaN.
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.
@version $Revision: 1006299 $ $Date: 2010-10-10 16:47:17 +0200 (dim. 10 oct. 2010) $
org.apache.commons.math.stat.univariate.summary.SumOfLogs
@version $Revision: 1.12 $ $Date: 2003/11/19 03:28:24 $
org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs for this collection of values.
Uses {@link org.apache.commons.math3.util.FastMath#log(double)} to compute the logs.Therefore,
- If any of values are < 0, the result is NaN.
- If all values are non-negative and less than Double.POSITIVE_INFINITY, but at least one value is 0, the result is Double.NEGATIVE_INFINITY.
- If both Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are among the values, the result is NaN.
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.
org.apache.openejb.math.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs for this collection of values.
Uses {@link java.lang.Math#log(double)} to compute the logs. Therefore,
- If any of values are < 0, the result is NaN.
- If all values are non-negative and less than Double.POSITIVE_INFINITY, but at least one value is 0, the result is Double.NEGATIVE_INFINITY.
- If both Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are among the values, the result is NaN.
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.
@version $Revision: 811685 $ $Date: 2009-09-05 10:36:48 -0700 (Sat, 05 Sep 2009) $

Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs

        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }


        covarianceImpl =

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs

    public SummaryStatisticsImpl() {
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();
        secondMoment = new SecondMoment();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs

        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }


        covarianceImpl =

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs

    public SummaryStatisticsImpl() {
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();
        secondMoment = new SecondMoment();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfLogs


    /**
     * Create a GeometricMean instance
     */
    public GeometricMean() {
        sumOfLogs = new SumOfLogs();
    }

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