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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>An introduction to measure-theoretic probability /  [electronic resource] by George G. Roussas.</dc:Title>
<dc:Creator>Roussas, George G., author.</dc:Creator>
<dc:Subject>Probabilities.</dc:Subject>
<dc:Subject>Measure theory.</dc:Subject>
<dc:Subject>QA273 .R864 2014eb</dc:Subject>
<dc:Subject>519.2 23</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Print version record.</dc:Description>
<dc:Description>"In this introductory chapter, the concepts of a field and of a [sigma]-field are introduced, they are illustrated bymeans of examples, and some relevant basic results are derived. Also, the concept of a monotone class is defined and its relationship to certain fields and [sigma]-fields is investigated. Given a collection of measurable spaces, their product space is defined, and some basic properties are established. The concept of a measurable mapping is introduced, and its relation to certain [sigma]-fields is studied. Finally, it is shown that any random variable is the pointwise limit of a sequence of simple random variables"-- Provided by publisher.</dc:Description>
<dc:Date>2014</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource</dc:Format>
<dc:Identifier>http://www.sciencedirect.com/science/book/9780128000427</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Introduction to measure-theoretic probability.</dc:Relation>
<dc:Relation>Introduction to measure-theoretic probability.</dc:Relation>

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