Input Modeling is a methodological framework within simulation modeling that identifies, characterizes, and formalizes the empirical or theoretical distributions and relationships governing the inputs to a simulation system in order to ensure valid and representative model behavior.
85
Publications
2.5K
Citations
131
Authors
59
Institutions
Publications per year
2017–2026
6
Parents
Publications
85
Fitting Time-Series Input Processes for Simulation
Bahar Biller, Barry L. Nelson · Operations Research · 2005 · 68 citations
1–5 of 85
Authors
131
- JR
11
h-index
- MA
9
h-index
- BL
8
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- AM
6
h-index
- JR
6
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1–5 of 131
Institutions
59
North Carolina State University
Raleigh, United States
13 h-index
20 publications
740 citations
Northwestern University
Evanston, United States
9 h-index
16 publications
455 citations
Cornell University
Ithaca, United States
8 h-index
11 publications
474 citations
William & Mary
Williamsburg, United States
6 h-index
9 publications
270 citations
Williams (United States)
Tulsa, United States
6 h-index
9 publications
270 citations
University of Maine
Orono, United States
5 h-index
5 publications
126 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
7 publications
256 citations
Pennsylvania State University
State College, United States
5 h-index
5 publications
180 citations
1–8 of 59
Venues
- Winter Simulation Conference
Conference · 10 publications · 191 citations
10
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- Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304)
Conference · 4 publications · 108 citations
4
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- Journal of Simulation
JOS · 3 publications · 103 citations
3
h-index
- Operations Research
3 publications · 136 citations
3
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- Reliability Engineering & System Safety
3 publications · 68 citations
3
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1–5