Input model uncertainty: why do we care and what should we do about it?. Henderson, S. G. In Chick, S. E., Sánchez, P. J., Morrice, D. J., & Ferrin, D., editors, Proceedings of the 2003 Winter Simulation Conference, pages 90–100, Piscataway, NJ, 2003. IEEE.
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Paper abstract bibtex
Paper abstract bibtex An input model is a collection of distributions together with any associated parameters that are used as primitive inputs in a simulation model. Input model uncertainty arises when one is not completely certain what distributions and/or parameters to use. This tutorial attempts to provide a sense of why one should consider input uncertainty and what methods can be used to deal with it.
@inproceedings{hen03wsc,
abstract = {An input model is a collection of distributions together with any associated parameters that are used as primitive inputs in a simulation model. Input model uncertainty arises when one is not completely certain what distributions and/or parameters to use. This tutorial attempts to provide a sense of why one should consider input uncertainty and what methods can be used to deal with it.},
address = {Piscataway, NJ},
author = {Shane G. Henderson},
booktitle = {Proceedings of the 2003 Winter Simulation Conference},
date-added = {2016-01-10 16:07:54 +0000},
date-modified = {2016-01-10 17:53:47 +0000},
editor = {Stephen E. Chick and Paul J. S\'{a}nchez and Douglas J. Morrice and David Ferrin},
organization = {IEEE},
pages = {90--100},
title = {Input model uncertainty: why do we care and what should we do about it?},
url_paper = {pubs/hen03wsc.pdf},
year = 2003}Downloads: 0
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