Output Data Analysis for a Single System - Introduction

5 important questions on Output Data Analysis for a Single System - Introduction

Why have output analyses not been conducted in an appropirate manner?

1. Some users have the unfortunate impression that simulation is largely an exercise in computer programming, albeit a complicated one.
2. The output processes of virtually all simulations are nonstationary and autocorrelated.

When can statistical analysis be performed?

If there is independece across simulation runs.

What is independence across simulations runs?

the observations from a particular replication are not IID but the observations across simulation runs are
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Why can single simulation run lead to erroneous inferences about the system under study?

random samples are just particular realizations and may differ greatly from the corresponding true characteristics for the model

What are the things we need to be take into account if we analyse the output of simulation experiments?

* Random fluctuations
* Maybe large variances
* Signficant probability of erroneous conclusions

The question on the page originate from the summary of the following study material:

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