Skip to main content

Relevant probability theory

  • Lecture L1
  • Conference paper
  • First Online:
Signal Processing for Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 79))

  • 233 Accesses

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

  1. Spiegel, M.R.: "Probability and Statistics". Schaum Outline Series, McGraw-Hill, 1975.

    Google Scholar 

  2. Papoulis, A.: "Probability, Random Variable, and Stochastic Processes". McGraw-Hill, 1965.

    Google Scholar 

  3. Meditch, J.S.: "Stochastic Optimal Linear Estimation and Control", McGraw-Hill, 1969.

    Google Scholar 

  4. Melsa, J.L. and Sage, A.P.: "An Introduction to Probability and Stochastic Processes", Prentice-Hall, 1973.

    Google Scholar 

  5. Murdoch, J. and Barnes, J.A.: "Statistical Tables for Science, Engineering, Management and Business Studies", Macmillan, 1974.

    Google Scholar 

Download references

Authors

Editor information

Keith Godfrey Peter Jones

Rights and permissions

Reprints and permissions

Copyright information

© 1986 Springer-Verlag

About this paper

Cite this paper

Jones, R.P. (1986). Relevant probability theory. In: Godfrey, K., Jones, P. (eds) Signal Processing for Control. Lecture Notes in Control and Information Sciences, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0008186

Download citation

  • DOI: https://doi.org/10.1007/BFb0008186

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16511-8

  • Online ISBN: 978-3-540-39834-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics