Examples of Poisson

cern.jet.random.Poisson
ern.ch/RD11/rkb/AN16pp/node208.html#SECTION0002080000000000000000"> math definition and animated definition.
p(k) = (mean^k / k!) * exp(-mean) for k >= 0.
Valid parameter ranges: mean > 0. Note: if mean <= 0.0 then always returns zero.
Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.
Static methods operate on a default uniform random number generator; they are synchronized.
Implementation: High performance implementation. Patchwork Rejection/Inversion method.
This is a port of pprsc.c from the C-RAND / WIN-RAND library. C-RAND's implementation, in turn, is based upon
H. Zechner (1994): Efficient sampling from continuous and discrete unimodal distributions, Doctoral Dissertation, 156 pp., Technical University Graz, Austria.
Also see
Stadlober E., H. Zechner (1999), The patchwork rejection method for sampling from unimodal distributions, to appear in ACM Transactions on Modelling and Simulation. @author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99
org.apache.mahout.math.jet.random.Poisson
@deprecated until unit tests are in place. Until this time, this class/interface is unsupported.
org.boris.expr.function.excel.POISSON

Examples of cern.jet.random.Poisson

    ////                         protected methods                 ////


    /** Method that is called after _randomNumberGenerator is changed.
     */
    protected void _createdNewRandomNumberGenerator() {
        _generator = new Poisson(1.0, _randomNumberGenerator);
    }

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Examples of cern.jet.random.Poisson

        halfReadLength = readLength / 2;
        errorRate = QualityUtils.qualToErrorProb((byte)phredErrorRate);
        readQuals = new byte[readLength];
        Arrays.fill(readQuals, (byte)phredErrorRate);
        if ( samplingMode == ReadSamplingMode.POISSON )
           poissonRandom = new Poisson(readDepth, new MersenneTwister((int)RANDOM_SEED));
    }

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Examples of org.apache.mahout.math.jet.random.Poisson


  @Test
  public void testRate() {
    Random gen = RandomUtils.getRandom();


    Poisson p = new Poisson(5, gen);
    double lastT = 0;


    double[] k = new double[1000];
    double[] t = new double[1000];
    for (int i = 1; i < 1000; i++) {
      // we sample every 5-15 seconds
      double dt = gen.nextDouble() * 10 + 5;
      t[i] = lastT + dt;


      // at those points, we get a Poisson count
      k[i] = p.nextInt(dt * 0.2);
      lastT = t[i];
    }


    OnlineExponentialAverage averager = new OnlineExponentialAverage(2000);

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Examples of org.boris.expr.function.excel.POISSON

        assertEquals(eval(p, 4, 3), 24.);
        assertEquals(eval(p, 100, 3), 970200.);
    }


    public void testPOISSON() throws Exception {
        POISSON p = new POISSON();
        fail("POISSON not implemented");
    }

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