Alternative Data Analysis Techniques for Queueing Simulations.

Abstract

The paper describes three alternative methods for performing a statistical analysis on the output of queueing simulations. One method makes use of the renewal property of certain queueing systems. The second makes use of the periodic sampling of the processes of interest in the simulation and the third relies on the job completion times to indicate when the processes should be sampled. The paper describes each methods's benefits and disadvantages. In particular it is shown that a priori information regarding interarrival and service times can be incorporated into all three method to reduce significantly the amount of data needed to estimate a substantial number of system descriptors. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1973
Accession Number
AD0767373

Entities

People

  • George S. Fishman

Organizations

  • Yale University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Processes
  • Computing-Related Activities
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Science
  • Sampling
  • Simulations
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.