Package org.apache.commons.math.distribution

Examples of org.apache.commons.math.distribution.FDistributionImpl.cumulativeProbability()

@param x the value at which the CDF is evaluated. @return CDF for this distribution. @throws MathException if the cumulative probability can not becomputed due to convergence or other numerical errors.
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     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

    /**
     * {@inheritDoc}<p>
     * This implementation uses the
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     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

    /**
     * {@inheritDoc}<p>
     * This implementation uses the
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     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

    /**
     * {@inheritDoc}<p>
     * This implementation uses the
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     */
    public double anovaPValue(Collection categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

    /**
     * {@inheritDoc}<p>
     * This implementation uses the
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