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Probability II / The Poisson Process and Renewal Theory

Derivation — The Inspection Paradox: Excess Life, Age, and Size-Biased Sampling

If bus inter-arrival times average 10 minutes, how long should a passenger arriving "at a random time" expect to wait for the next bus? The naive answer — 5 minutes, half the average gap — is wrong in general, and the true answer can be arbitrarily larger. This is the inspection paradox, and its resolution is a genuinely important, non-obvious fact about renewal processes: an interval sampled by "landing inside it at a random time" is systematically longer than a typical interval, because long intervals are more likely to contain a random inspection point than short ones. This note derives the exact limiting distribution of the age and residual life at a random inspection time, using a renewal-reward argument built directly on the renewal equation machinery.
Learning objectives. By the end of this note you should be able to:
  • define the age and residual life (excess life) processes precisely;
  • derive the limiting joint density of age and residual life via a renewal-reward argument;
  • state the inspection-paradox identity and explain the size-biased-sampling intuition behind it;
  • compute the limiting age/residual-life distribution for the exponential and uniform cases.

In this lesson

  1. Age and residual life
  2. The size-biased-sampling explanation

The full lesson, with worked examples and exercise solutions, is for members.

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