Go to the previous, next section.
CNCL provides essentially five 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
)
-
Limited-Relative-Error (LRE): distribution function, complementary
distributio 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
).
All classes are derived from the base class CNStatistics
.
Go to the previous, next section.