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CNCL provides essentially six methods for a statistical evaluation of
simulation results:
-
Moments: mean, variance, coefficient of variation etc., without error
measure (
CNMoments)
-
Moments with Time Weights: mean, variance, coefficient of variation
etc., without error measure (
CNMomentsTime)
-
Confidence: mean, variance, coefficient of variation etc., with
confidence interval measure
measure (
CNConfidence)
-
Limited-Relative-Error (LRE): distribution function, complementary
distribution function, and local correlation
coefficient with error measure (
CNLREF, CNLREG)
-
Discrete-Limited-Relative-Error (DLRE): same as LRE, but only for discrete
(complementary) distribution functions with well--known x--values
-
Batch-Means: distribution function with relative Bayes error, histogram,
confidence interval; mean (with relative Bayes error) and variance of
the group means (
CNBatchMeans).
-
Histogram: reduction of statistical data to a simple histogram.
All classes are derived from the base class CNStatistics.
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