Package de.uka.ipd.sdq.statistics

This package contains mainly batch mean procedures and warm-up filters.

How to implement a new batch mean procdure?

The recommended way is to extend ABatchAlgorithm which is more convenient than directly implementing the interface IBatchMeanAlgorithm.

How to implement a new warm-up filter?

There is not yet a common interface for warm-up filters.

Interface Summary

Interface	Description
IBatchAlgorithm	Interface for batch mean algorithms.

Class Summary

Class	Description
ABatchAlgorithm	Implements some recurring tasks arising when implementing the interface IBatchAlgorithm.
Activator	The activator class controls the plug-in life cycle
Batch	A batch, represented by the batch mean.
CrossingMeanWarmUpFilter	Implements the "Crossing the mean" heuristic for filtering the warm-up period of a steady state simulation.
MCRWarmUpFilter	Implements the "Marginal Confidence Rule" (MCR) for filtering the warm-up period of a steady state simulation.
PhiMixingBatchAlgorithm	Implements a batch means procedure based on phi-mixing conditions as described in [1].
StaticBatchAlgorithm	Batch means algorithm with manually configured batch size.