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Strelen, Christoph - Institut für Informatik IV, Universität Bonn
GENERATION OF TRANSITION CLASS MODELS FROM FORMAL QUEUEING NETWORK DESCRIPTIONS
MEDIAN CONFIDENCE INTERVALS -GROUPING DATA INTO BATCHES AND COMPARISON WITH OTHER TECHNIQUES
MONTECARLO SIMULATION OF MARKOV CHAINS USING A HIGHLEVEL MODELLING TECHNIQUE
Moment Analysis for Closed Queueing Networks and Its Linearizer
DEPENDENCE INPUT MODELING WITH THE HELP OF NON-GAUSSIAN AR MODELS AND GENETIC ALGORITHMS
Analysis of Queueing Networks with Blocking using a New Aggregation Technique
Loss Queueing Networks with Bursty Arrival Processes and Phase Type Service Times: Approximate Analysis
The Genetic Algorithm is Useful to Fitting Input Probability Distributions for Simulation Models
Median Confidence Intervals Extended Abstract
Approximate Product Form Solutions for Markov Johann Christoph Strelen
Approximate Analysis of Queueing Networks with Markovian Arrival Processes and Phase Type Service
Approximate Analysis of Queueing Networks with Markovian Arrival Processes and Phase Type Service
Approximate Product Form Solutions for Markov Chains
A Little Tutorial on the DA Iteration Method: Three Tiny Blocking Networks Solved Step by Step
MODELLING DISCRETE INPUT PROBABILITY DISTRIBUTIONS
GENERATING SIMULATION INPUT WITH APPROXIMATE COPULAS Feras Nassaj
A New Confidence Interval Method for the Estimation of Quantiles
Tools for Dependent Simulation Input with Copulas Johann Christoph Strelen
APPROXIMATE DISAGGREGATION--AGGREGATION SOLUTIONS FOR GENERAL QUEUEING NETWORKS
Analysis of Queueing Networks with Blocking using a New Aggregation Technique
Loss Queueing Networks with Bursty Arrival Processes and Phase Type Service Times: Approximate Analysis
APPROXIMATE DISAGGREGATION-AGGREGATION SOLUTIONS FOR GENERAL QUEUEING NETWORKS