Abstract
Studying the properties of one realization (sample path) of a stochastic process often leads to a better and deeper understanding of the properties of the system under study. It also provides a powerful tool for practitioners to determine which properties of a given system are independent of the usually imposed probabilistic assumptions. By its very nature a sample-path argument is deterministic and therefore requires no probabilistic assumptions. By focusing attention on a particular sample path, we are in effect assuming that the behavior of the system over time is completely known to us; thus probabilistic arguments are irrelevant.
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© 1999 Springer Science+Business Media New York
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El-Taha, M., Stidham, S. (1999). Introduction and Overview. In: Sample-Path Analysis of Queueing Systems. International Series in Operations Research & Management Science, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5721-0_1
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DOI: https://doi.org/10.1007/978-1-4615-5721-0_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7620-0
Online ISBN: 978-1-4615-5721-0
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