Examples of org.jamesii.core.math.random.distributions.AbstractNormalDistribution

org.jamesii.core.math.random.distributions.AbstractNormalDistribution

Superclass generalizing the (two) normal distributions already present. Subclasses should differ only in their getNextGaussian() method that generates numbers in N(0,1). The transformation to N(mean,dev) and setting of mean and deviation takes place here. getNextGaussian() is now also accessible for other distributions that rely on numbers from N(0,1), for example {@link InverseGaussianDistribution}, {@link ChiSquareDistribution} or{@link MultipleNormalDistribution}, which can now use either of the implemented normal distributions. @author Arne Bittig @date 10.02.2011

          ((Double) (Math.floor(rand.nextDouble() * (oldLevel.size()))))
              .intValue();
      addEdge(tree, actualNodeNum, oldLevel.get(randomParent));
      nodesOnLevel.add(actualNodeNum);
      actualNodeNum++;
      AbstractNormalDistribution normDist =
          new NormalDistribution(rand, 0., 1.);


      for (int i : oldLevel) {


        randomNumber =
            approxNumberOfChildren + 0.25 * approxNumberOfChildren
                * normDist.getRandomNumber();


        while (randomNumber > 0.5 && actualNodeNum < numOfNodes) {
          addEdge(tree, actualNodeNum, i);
          nodesOnLevel.add(actualNodeNum);
          actualNodeNum++;

Related Classes of org.jamesii.core.math.random.distributions.AbstractNormalDistribution

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