This chapter amplifies the one paragraph description of the heuristic given in the introduction. We develop a language, slightly abstract and more than slightly vague, in which the examples in subsequent chapters are discussed. The “Commentary” at the end of the chapter gives some perspective, relating the heuristic to more standard topics and techniques in probability theory. We illustrate the heuristic method with one simple example, the M/M/1 queue. To avoid interrupting the flow later, let us first develop notation for this process.


Sojourn Time Marked Point Process Fundamental Identity Compound Poisson Distribution Clump Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • David Aldous
    • 1
  1. 1.Department of StatisticsUniversity of California-BerkeleyBerkeleyUSA

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