Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1133980 | Computers & Industrial Engineering | 2013 | 10 Pages |
Abstract
⺠We introduce the concept of change point detection and estimation in stochastic simulation input data modeling. ⺠A modified parametric method and a nonparametric technique are proposed for detecting and estimating change locations. ⺠We compare our proposed methods in terms of accuracy and precision metrics. ⺠The impacts of accurate input data modeling on deriving validated simulation outputs are demonstrated.
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Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Issac Shams, Saeede Ajorlou, Kai Yang,