General Theory of Finite Probability Spaces

Melvin Hausner
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Melvin Hausner: New York University, Washington Square and University College

Chapter Chapter 3 in Elementary Probability Theory, 1995, pp 81-121 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 1995
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DOI: 10.1007/978-1-4615-1753-5_3

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