Persistent Link:
http://hdl.handle.net/10150/614358
Title:
Empirical Study on the Variability of Monte Carlo Simulation
Author:
Moore, John H.; Jeruchim, Michel C.
Affiliation:
General Electric Company, Space Division
Issue Date:
1980-10
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
In a Monte Carlo simulation there are variations in the results as a function of the priming numbers, or seeds, of the random number generators. Some of this variation can be interpreted as arising from finite-time observation, but some of it may be due to inherent non-ideal properties of the number generators themselves. These properties cannot generally be deduced from standard statistical tests. Hence the result of the experiment itself must serve as the final measure of variability. An extensive empirical study was conducted in which two nonlinear satellite links using MSK modulation were simulated. The results should provide guidance as to the variability that can result, and the causes thereof, in Monte Carlo simulation of communication systems.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleEmpirical Study on the Variability of Monte Carlo Simulationen_US
dc.contributor.authorMoore, John H.en
dc.contributor.authorJeruchim, Michel C.en
dc.contributor.departmentGeneral Electric Company, Space Divisionen
dc.date.issued1980-10-
dc.rightsCopyright © International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractIn a Monte Carlo simulation there are variations in the results as a function of the priming numbers, or seeds, of the random number generators. Some of this variation can be interpreted as arising from finite-time observation, but some of it may be due to inherent non-ideal properties of the number generators themselves. These properties cannot generally be deduced from standard statistical tests. Hence the result of the experiment itself must serve as the final measure of variability. An extensive empirical study was conducted in which two nonlinear satellite links using MSK modulation were simulated. The results should provide guidance as to the variability that can result, and the causes thereof, in Monte Carlo simulation of communication systems.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/614358-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.