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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
IEEE
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, IEEE. 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).

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e-pub ahead of print date: 8 January 2018
Published date: January 2018
Venue - Dates: 2017 Winter Simulation Conference, Red Rock Resorts, Las Vegas, United States, 2017-12-03 - 2017-12-06

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

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Date deposited: 12 Apr 2018 16:30
Last modified: 16 Mar 2024 06:28

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