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Probability, Statistical Optics, and Data Testing pp 134–161Cite as

Bernoulli Trials and Limiting Cases

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Part of the book series: Springer Series in Information Sciences ((SSINF,volume 10))

Abstract

The emphasis until this chapter has been upon continuous random variables. Most discrete RV’s may, anyhow, be described as a Dirac limit of corresponding continuous RV’s (Sect. 3.12). But, now we want to consider a situation which is intrinsically discrete and has many applications to the world around us. This is the situation of repeated trials.

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References

  1. E. L. O’Neill: Introduction to Statistical Optics (Addison-Wesley, Reading, MA 1963)

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Additional Reading

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  • Chow, Y. S., H. Teichen Probability Theory. Independence, Inter changeability, Martingales (Springer, Berlin, Heidelberg, New York 1978)

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  • Goodman, J. W: Statistical Optics (Wiley, New York, 1985)

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  • Moran, P. A. P.: An Introduction to Probability Theory (Clarendon, Oxford 1968)

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  • Saleh, B. E. A., M. C. Teich: Proc. IEEE 70, 229 (1982)

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  • Thomas, J. B.: An Introduction to Statistical Communication Theory (Wiley, New York 1969)

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Author information

Authors and Affiliations

  1. Optical Sciences Center, The University of Arizona, Tucson, AZ, 85721, USA

    Professor B. Roy Frieden Ph. D.

Authors
  1. Professor B. Roy Frieden Ph. D.
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© 1991 Springer-Verlag Berlin Heidelberg

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Frieden, B.R. (1991). Bernoulli Trials and Limiting Cases. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97289-8_6

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  • DOI: https://doi.org/10.1007/978-3-642-97289-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53310-8

  • Online ISBN: 978-3-642-97289-8

  • eBook Packages: Springer Book Archive

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