Input modeling when simple models fail

Barry L. Nelson; Peter Ware; Marne C. Cario; Chester A. Harris; Stephanie A. Jamison; J. O. Miller; James Steinbugl; Jaehwan Yang

doi:10.1145/224401.224429

Input modeling when simple models fail

Barry L. Nelson^*, Peter Ware, Marne C. Cario, Chester A. Harris, Stephanie A. Jamison, J. O. Miller, James Steinbugl, Jaehwan Yang

^*Corresponding author for this work

Industrial Engineering and Management Sciences

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.

Original language	English (US)
Pages (from-to)	93-100
Number of pages	8
Journal	Winter Simulation Conference Proceedings
DOIs	https://doi.org/10.1145/224401.224429
State	Published - 1995
Event	Proceedings of the 1995 Winter Simulation Conference, WSC'95 - Arlington, VA, USA Duration: Dec 3 1995 → Dec 6 1995

ASJC Scopus subject areas

Software
Modeling and Simulation
Safety, Risk, Reliability and Quality
Chemical Health and Safety
Applied Mathematics

Access to Document

10.1145/224401.224429

Cite this

@article{2908ca972b8c4170b025952195234d16,

title = "Input modeling when simple models fail",

abstract = "A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.",

author = "Nelson, {Barry L.} and Peter Ware and Cario, {Marne C.} and Harris, {Chester A.} and Jamison, {Stephanie A.} and Miller, {J. O.} and James Steinbugl and Jaehwan Yang",

year = "1995",

doi = "10.1145/224401.224429",

language = "English (US)",

pages = "93--100",

journal = "Winter Simulation Conference Proceedings",

issn = "0275-0708",

}

TY - JOUR

T1 - Input modeling when simple models fail

AU - Nelson, Barry L.

AU - Ware, Peter

AU - Cario, Marne C.

AU - Harris, Chester A.

AU - Jamison, Stephanie A.

AU - Miller, J. O.

AU - Steinbugl, James

AU - Yang, Jaehwan

PY - 1995

Y1 - 1995

N2 - A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.

AB - A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.

UR - http://www.scopus.com/inward/record.url?scp=0029528584&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029528584&partnerID=8YFLogxK

U2 - 10.1145/224401.224429

DO - 10.1145/224401.224429

M3 - Conference article

AN - SCOPUS:0029528584

SN - 0275-0708

SP - 93

EP - 100

JO - Winter Simulation Conference Proceedings

JF - Winter Simulation Conference Proceedings

T2 - Proceedings of the 1995 Winter Simulation Conference, WSC'95

Y2 - 3 December 1995 through 6 December 1995

ER -

Input modeling when simple models fail

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this