The University of Southampton
University of Southampton Institutional Repository

History of input modeling

History of input modeling
History of input modeling

In stochastic simulation, input modeling refers to the process of identifying and selecting the probability distributions, called input models, from which are generated the random variates that are the source of the stochastic variation in the simulation model when it is run. This article reviews the history of the development and use of such models with the main focus on discrete-event simulation (DES).

181-201
Institute of Electrical and Electronics Engineers Inc.
Cheng, Russell
a4296b4e-7693-4e5f-b3d5-27b617bb9d67
Cheng, Russell
a4296b4e-7693-4e5f-b3d5-27b617bb9d67

Cheng, Russell (2018) History of input modeling. In 2017 Winter Simulation Conference, WSC 2017. vol. Part F134102, Institute of Electrical and Electronics Engineers Inc. pp. 181-201 . (doi:10.1109/WSC.2017.8247789).

Record type: Conference or Workshop Item (Paper)

Abstract

In stochastic simulation, input modeling refers to the process of identifying and selecting the probability distributions, called input models, from which are generated the random variates that are the source of the stochastic variation in the simulation model when it is run. This article reviews the history of the development and use of such models with the main focus on discrete-event simulation (DES).

Text
history of input - Accepted Manuscript
Restricted to Repository staff only
Request a copy

More information

Published date: 4 January 2018
Venue - Dates: 2017 Winter Simulation Conference, Las Vegas, United States, 2017-12-03 - 2017-12-06

Identifiers

Local EPrints ID: 419422
URI: https://eprints.soton.ac.uk/id/eprint/419422
PURE UUID: cebc290b-e0f6-4b4e-b87f-830490777f58

Catalogue record

Date deposited: 12 Apr 2018 16:30
Last modified: 13 Mar 2019 18:38

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×