Examples of umontreal.iro.lecuyer.stat.Tally

umontreal.iro.lecuyer.stat.Tally

This type of statistical collector takes a sequence of real-valued observations and can return the average, the variance, a confidence interval for the theoretical mean, etc. Each call to {@link #add add} provides a new observation.When the broadcasting to observers is activated, the method {@link #add add} will also pass this new information to itsregistered observers. This type of collector does not memorize the individual observations, but only their number, sum, sum of squares, maximum, and minimum. The subclass {@link TallyStore} offers a collector that memorizesthe observations.

         int tmp = i;
         i = j;
         j = tmp;
      }


      Tally tallyi = get (i);
      Tally tallyj = get (j);
      if (tallyi == null || tallyj == null)
         return Double.NaN;
      int n = tallyi.numberObs();
      if (n != tallyj.numberObs()) {
         log.logp (Level.WARNING, "ListOfTalliesWithCovariance", "covariance",
            "Tally " + i  + ", with name " + tallyi.getName() + ", contains " 
            + n + " observations while " +
              "tally " + j + ", with name " + tallyj.getName() + ", contains " + tallyj.numberObs() + "observations");
         return Double.NaN;
      }


      if (n < 2) {
         log.logp (Level.WARNING, "ListOfTalliesWithCovariance", "covariance",
            "Tally " + i + ", with name " + tallyi.getName() + ", contains " + n + " observation");
         return Double.NaN;
      }
      if (tallyi instanceof TallyStore && tallyj instanceof TallyStore)
         return ((TallyStore) tallyi).covariance ((TallyStore) tallyj);
      else if (isStable)
         return curSum2[i][j - i - 1]/(n-1);
      else {
         double sum1 = tallyi.sum();
         double sum2 = tallyj.sum();
         double sum12 = sxy[i][j - i - 1];
         return (sum12 - sum1*sum2/n)/(n-1);
      }
   }

Examples of umontreal.iro.lecuyer.stat.Tally

Related Classes of umontreal.iro.lecuyer.stat.Tally