Package de.uka.ipd.sdq.statistics
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 extendABatchAlgorithm 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.-
ClassDescriptionImplements some recurring tasks arising when implementing the interface
IBatchAlgorithm.The activator class controls the plug-in life cycleA batch, represented by the batch mean.Implements the "Crossing the mean" heuristic for filtering the warm-up period of a steady state simulation.Interface for batch mean algorithms.Implements the "Marginal Confidence Rule" (MCR) for filtering the warm-up period of a steady state simulation.Implements a batch means procedure based on phi-mixing conditions as described in [1].Batch means algorithm with manually configured batch size.