Transformations of Random Variables and Random Vectors

  • Rinaldo B. Schinazi


The notion of distribution function is especially useful when dealing with continuous random variables. However, any random variable has a distribution function, as one can see below.


Normal Vector Random Vector Independent Random Variable Joint Density Moment Generate Function 
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.


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Rinaldo B. Schinazi
    • 1
  1. 1.Department of MathematicsUniversity of ColoradoColorado SpringsUSA

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