Discrete Variates

  • J. G. Kalbfleisch
Part of the Springer Texts in Statistics book series (STS)


In most experiments we are interested either in counts of the numbers of times various events occur, or in measurements of quantities such as time, weight, density, etc. Counts and measurements are represented in mathematical probability theory by discrete and continuous random variables, or variates. A variate X is a quantity which is capable of taking on various real values according to chance. A discrete variate has only finitely many or at most countably many possible values. A continuous variate can assume any real value in an interval. In the discrete case, probabilities are found by summing the probability function of X. In the continuous case (to be considered in Chapter 6), probabilities are found by integrating the probability density function of X.


Poisson Distribution Probability Function Binomial Distribution Discrete Variate Sample Space 
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 1985

Authors and Affiliations

  • J. G. Kalbfleisch
    • 1
  1. 1.Department of Statistics and Actuarial ScienceUniversity of WaterlooWaterlooCanada

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