Flick the Nick: Observing Processes Over Time

  • Richard L. Scheaffer
  • Ann Watkins
  • Mrudulla Gnanadesikan
  • Jeffrey A. Witmer
Part of the Textbooks in mathematical sciences book series (TIMS)

Abstract

How often have you heard reference to trends in behavior over time? How often have you heard reference to the fact that something seems to be “out of control”? In many quantitative problems, the data are collected over time. In such cases, the time order of the data and the patterns gen‑erated across time are important considerations. If accidents really are on the increase, then a community might want to implement new traffic control strategies. If, however, last month’s accident total is ex­ceedingly large for some explainable reason, like road construction or bad weather, then changes in traffic control might not be warranted. For such a solution, you need to be able to explain meaningfully pat­terns in data collected over time and recognize data points that deprrt from the norm in an unusual way.

Keywords

Time Series Data Stable Process Road Construction Traffic Control Time Order 
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 1996

Authors and Affiliations

  • Richard L. Scheaffer
    • 1
  • Ann Watkins
    • 2
  • Mrudulla Gnanadesikan
    • 3
  • Jeffrey A. Witmer
    • 4
  1. 1.University of FloridaUSA
  2. 2.California State UniversityNorthridgeUSA
  3. 3.Fairleigh Dickinson UniversityUSA
  4. 4.Oberlin CollegeUSA

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