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General Theory of Finite Probability Spaces

  • Melvin Hausner

Abstract

If S is any probability space (Definition 1.6), we have defined an event A as any subset of S (Definition 1.12). In Chapter 2 we worked with a uniform space S and considered the problem of computing the probability p(A) by counting the elements in A and in S and using Equation 1.11: p(A) = n(A)/ n(S).

Keywords

Conditional Probability Probability Space Sample Space Product Rule Exclusive Event 
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

© Melvin Hausner 1995

Authors and Affiliations

  • Melvin Hausner
    • 1
  1. 1.Washington Square and University CollegeNew York UniversityUSA

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