Examples of org.jquantlib.math.distributions.CumulativePoissonDistribution.op()

org.jquantlib.math.distributions.CumulativePoissonDistribution.op()
{@inheritDoc}
Computes the cumulative Poisson distribution by using the incomplete gamma function . @param k is the number of occurrences of an event @return the cumulative Poisson distribution by using the incomplete gamma function


        for (double mean=0.0; mean<=10.0; mean+=0.5) {
            final CumulativePoissonDistribution cdf = new CumulativePoissonDistribution(mean);


            int i = 0;
            double cumCalculated = cdf.op(i);
            double logHelper = -mean;
            double cumExpected = Math.exp(logHelper);
            double error = Math.abs(cumCalculated-cumExpected);
            if (error>1.0e-13) {
                fail("expected: " + cumExpected + "  calculated: " + cumCalculated + "  error: " + error);

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            if (error>1.0e-13) {
                fail("expected: " + cumExpected + "  calculated: " + cumCalculated + "  error: " + error);
            }


            for (i=1; i<25; i++) {
                cumCalculated = cdf.op(i);
                if (mean == 0.0) {
                    cumExpected = 1.0;
                } else {
                    logHelper = logHelper+Math.log(mean)-Math.log(i);
                    cumExpected += Math.exp(logHelper);

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      return     cnd.op(z);
      }


      public  static double evaluateCumulativePoissonDistribution(double mean, int k){
          CumulativePoissonDistribution cpd = new CumulativePoissonDistribution(mean);
          return cpd.op(k);


      }


          public static double evaluateGammaDistribution(double a, double x) {
              GammaDistribution gd = new GammaDistribution(a);

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