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Other Important Random Variables

  • Gordana Jovanovic Dolecek
Chapter

Abstract

A lognormal variable X is obtained through the exponential transformation of a normal random variable Y that has a mean value of m Y and a variance of \( \sigma_Y^2 \),
$$ X = {{\hbox{e}}^Y}, $$

Keywords

Normal Random Variable Probability Mass Function Gamma Variable Exponential Random Variable Poisson Random Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. KLA89.
    K. B. Laassen, J.C.L. van Peppen, “System Reliability: Concepts and Applications,” Edward Arnold, London, 1989.Google Scholar
  2. MIL04.
    S. L. Miller, D. Childers, “Probability and Random Processes with Applications to Signal Processing and Communications,” Elsevier Academic Press Inc., Burlington, MA, 2004.Google Scholar
  3. PEE93.
    P. Z. Peebles, “Probability, Random Variables, and Random Signal Principles,” McGraw-Hill Inc., New York, 1993.Google Scholar
  4. ROSS10.
    S. Ross, “A First Course in Probability,” Prentice Hall, New Jersey, 2010.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Gordana Jovanovic Dolecek
    • 1
  1. 1.Department of ElectronicsInstituto Nacional de Astrofisica Optica y Electronica (INAOE)TonantzintlaMexico

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