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Classes of Sets, Measures, and Probability Spaces

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Probability Theory

Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

A set, in the words of Georg Cantor, the founder of modern set theory, is a collection into a whole of definite, well-distinguished objects of our perception or thought, The objects are called elements and the set is the aggregate of these elements. It is very convenient to extend this notion and also envisage a set devoid of elements, a so-called empty set, and this will be denoted by 0. Each element of a set appears only once therein and its order of appearance within the set is irrelevant. A set whose elements are themselves sets will be called a class.

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© 1997 Springer Science+Business Media New York

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Chow, Y.S., Teicher, H. (1997). Classes of Sets, Measures, and Probability Spaces. In: Probability Theory. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1950-7_1

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  • DOI: https://doi.org/10.1007/978-1-4612-1950-7_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-40607-7

  • Online ISBN: 978-1-4612-1950-7

  • eBook Packages: Springer Book Archive

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