Examples of WeibullDistribution

org.apache.commons.math.distribution.WeibullDistribution
orld.wolfram.com/WeibullDistribution.html"> Weibull Distribution, equations (1) and (2).
References:
- Weibull Distribution
@since 1.1 @version $Revision: 920852 $ $Date: 2010-03-09 13:53:44 +0100 (mar. 09 mars 2010) $
org.apache.commons.math3.distribution.WeibullDistribution
orld.wolfram.com/WeibullDistribution.html"> Weibull Distribution, equations (1) and (2). @see Weibull distribution (Wikipedia) @see Weibull distribution (MathWorld) @since 1.1 (changed to concrete class in 3.0)

Examples of org.apache.commons.math3.distribution.WeibullDistribution

     * @return random value sampled from the Weibull(shape, size) distribution
     * @throws NotStrictlyPositiveException if {@code shape <= 0} or
     * {@code scale <= 0}.
     */
    public double nextWeibull(double shape, double scale) throws NotStrictlyPositiveException {
        return new WeibullDistribution(getRan(), shape, scale,
                WeibullDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY).sample();
    }

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Examples of org.apache.commons.math3.distribution.WeibullDistribution

        TestUtils.assertChiSquareAccept(expected, counts, 0.001);
    }


    @Test
    public void testNextWeibull() {
        double[] quartiles = TestUtils.getDistributionQuartiles(new WeibullDistribution(1.2, 2.1));
        long[] counts = new long[4];
        randomData.reSeed(1000);
        for (int i = 0; i < 1000; i++) {
            double value = randomData.nextWeibull(1.2, 2.1);
            TestUtils.updateCounts(value, counts, quartiles);

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Examples of org.apache.commons.math3.distribution.WeibullDistribution

        TestUtils.assertChiSquareAccept(expected, counts, 0.001);
    }


    @Test
    public void testNextWeibull() throws Exception {
        double[] quartiles = TestUtils.getDistributionQuartiles(new WeibullDistribution(1.2, 2.1));
        long[] counts = new long[4];
        randomData.reSeed(1000);
        for (int i = 0; i < 1000; i++) {
            double value = randomData.nextWeibull(1.2, 2.1);
            TestUtils.updateCounts(value, counts, quartiles);

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