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Date: Wed, 26 Sep 2012 13:20:07 +1100 (NCT)
From: "Andrew Waterman (JIRA)" <jira@apache.org>
To: issues@commons.apache.org
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Subject: [jira] [Comment Edited] (MATH-460) Levy Distribution
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    [ https://issues.apache.org/jira/browse/MATH-460?page=3Dcom.atlassian.j=
ira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D134634=
70#comment-13463470 ]=20

Andrew Waterman edited comment on MATH-460 at 9/26/12 1:18 PM:
---------------------------------------------------------------

Thanks for the help Phil! Do you think you could explain the following test=
? It seems like it should be overridden in my own test case, as I'm a bit c=
onfused about the set [250,250,250,250] for the variable "expected" below:=
=20

Link: https://github.com/apache/commons-math/blob/trunk/src/test/java/org/a=
pache/commons/math3/distribution/RealDistributionAbstractTest.java#L290

  public abstract class RealDistributionAbstractTest {

    ....

    /**
     * Test sampling
     */
    @Test
    public void testSampling() {
        final int sampleSize =3D 1000;
        distribution.reseedRandomGenerator(1000); // Use fixed seed
        double[] sample =3D distribution.sample(sampleSize);
        double[] quartiles =3D TestUtils.getDistributionQuartiles(distribut=
ion);
        double[] expected =3D {250, 250, 250, 250};
        long[] counts =3D new long[4];
        for (int i =3D 0; i < sampleSize; i++) {
            TestUtils.updateCounts(sample[i], counts, quartiles);
        }
        TestUtils.assertChiSquareAccept(expected, counts, 0.001);
    }
               =20
      was (Author: awaterma):
    Thanks for the help Phil! Do you think you could explain the following =
test? It seems like it should be overridden in my own test case, as I'm a b=
it confused about the set [250,250,250,250] for the variable "expected" bel=
ow:=20

  public abstract class RealDistributionAbstractTest {

    ....

    /**
     * Test sampling
     */
    @Test
    public void testSampling() {
        final int sampleSize =3D 1000;
        distribution.reseedRandomGenerator(1000); // Use fixed seed
        double[] sample =3D distribution.sample(sampleSize);
        double[] quartiles =3D TestUtils.getDistributionQuartiles(distribut=
ion);
        double[] expected =3D {250, 250, 250, 250};
        long[] counts =3D new long[4];
        for (int i =3D 0; i < sampleSize; i++) {
            TestUtils.updateCounts(sample[i], counts, quartiles);
        }
        TestUtils.assertChiSquareAccept(expected, counts, 0.001);
    }
                 =20
> Levy Distribution
> -----------------
>
>                 Key: MATH-460
>                 URL: https://issues.apache.org/jira/browse/MATH-460
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Pavel Ryzhov
>            Priority: Minor
>             Fix For: 3.2
>
>         Attachments: levy_math_460.patch
>
>
> Pretty straightforward implementation of Levy Distribution (not Levy alph=
a-stable) according to http://en.wikipedia.org/wiki/L=C3=A9vy_distribution.

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