Skip to main content
  • 768 Accesses

Abstract

In this chapter we discuss a probabilistic model which can be used to describe the occurrences of unpredictable events, which do exhibit a certain amount of statistical regularity. Examples to keep in mind are the moments at which telephone calls are received in a call centre, the moments at which customers enter a particular shop, or the moments at which California is hit by an earthquake. We refer to an occurrence of such an unpredictable event simply as an occurrence.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Basel AG

About this chapter

Cite this chapter

Meester, R. (2003). The Poisson Process. In: A Natural Introduction to Probability Theory. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7786-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-0348-7786-2_7

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-2188-8

  • Online ISBN: 978-3-0348-7786-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics