Skip to main content

Computer Generated Random Numbers: The Monte Carlo Method

  • Chapter
  • First Online:
Data Analysis
  • 506k Accesses

Abstract

Up to now in this book we have considered the observation of random variables, but not prescriptions for producing them. It is in many applications useful, however, to have a sequence of values of a randomly distributed variable x.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Abbreviation of binary digit.

  2. 2.

    Since the numbers are pseudorandom and not strictly random, we use the notation x in place of x.

Literature

Literature Cited in the Text

  1. D.E. Knuth, The Art of Computer Programming, vol. 2, Addison-Wesley, Reading MA 1981

    MATH  Google Scholar 

  2. P. L’Ecuyer, Comm. ACM 31 (1988) 742

    Article  MathSciNet  Google Scholar 

  3. B.A. Wichmann and I.D. Hill, Appl. Stat. 31 (1982) 188

    Article  Google Scholar 

  4. G.E.P. Box and M.E. Muller, Ann. Math. Stat. 29 (1958) 611

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Brandt, S. (2014). Computer Generated Random Numbers: The Monte Carlo Method. In: Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-03762-2_4

Download citation

Publish with us

Policies and ethics