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- W2036788400 abstract "Technical details of various approaches to the analysis of simulation output are presented in other sessions of this conference and have been the topic of previous Winter Simulation Conference sessions. This tutorial will include an introduction to many of these techniques but the focus is on particular problems in translating classical statistical methodologies to the simulation environment.A simulation experiment is often conducted to estimate some unknown parameter (scalar or vector) on which a decision is to be based. Furthermore the decision is likely to involve considerable risk; otherwise, the relatively expensive and time consuming methodology of computer simulation should not be employed. From this it follows that estimates are of little value unless their accuracy can be assessed. So-called “point estimates,” while useful in other phases of a simulation project such as distribution fitting and testing, are not nearly as meaningful in summarizing output. At this stage of a simulation study (when the model influences actual decisions) interval estimates or confidence intervals become an important form for presenting results." @default.
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- W2036788400 date "1977-12-05" @default.
- W2036788400 modified "2023-09-25" @default.
- W2036788400 title "Tutorial on simulation output analysis" @default.
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- W2036788400 doi "https://doi.org/10.5555/800251.807520" @default.
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