Package org.jquantlib.math.distributions

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

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    double a = 1.0;
    final GammaDistribution gammDistribution = new GammaDistribution(a);
    for (final double[] testvalue : testvalues) {
      final double expected = testvalue[1];
      final double x = testvalue[0];
      final double computed = gammDistribution.op(x);
      // QL.info(computed); // for testing
      final double tolerance = 1.0e-15;
      if (Math.abs(expected-computed)>tolerance) {
        fail("x: " + x + " expected: " + expected + " realised: " + computed);
      }
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    a = 0.1;
    final GammaDistribution gammDist = new GammaDistribution(a);
    for (final double[] element : testvalues2) {
      final double expected = element[1];
      final double x = element[0];
      final double computed = gammDist.op(x);
      // QL.info(computed); // for testing
      final double tolerance = 1.0e-15;
      if (Math.abs(expected-computed)>tolerance) {
        fail("x: " + x + " expected: " + expected + " realised: " + computed);
      }
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      }

          public static double evaluateGammaDistribution(double a, double x) {
              GammaDistribution gd = new GammaDistribution(a);
              return gd.op(x);
          }
           public static double evaluateInverseCumulativeNormal(double average, double sigma, double x){
               InverseCumulativeNormal icn = new InverseCumulativeNormal(average,sigma);
               return icn.op(x);
           }
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