Skip to main content

Random Variable Generation

  • Chapter
Monte Carlo Statistical Methods

Part of the book series: Springer Texts in Statistics ((STS))

  • 1960 Accesses

Abstract

The methods developed in this book mostly rely on the possibility of producing (with a computer) a supposedly endless flow of random variables (usually iid) for well-known distributions. Such a simulation is, in turn, based on the production of uniform random variables. We thus provide in this chapter some basic methodology for doing this. In particular, we present a uniform random number generator and illustrate methods for using these uniform random variables to produce random variables from both standard and nonstandard distributions.

“Have you any thought,” resumed Valentin, “of a tool with which it could be done?”

“Speaking within modern probabilities, I really haven’t,” said the doctor.

— G.K. Chesterton, The Innocence of Father Brown

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

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Robert, C.P., Casella, G. (1999). Random Variable Generation. In: Monte Carlo Statistical Methods. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3071-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-3071-5_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-3073-9

  • Online ISBN: 978-1-4757-3071-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics