An introduction to measure-theoretic probability / by George G. Roussas.
Material type:
TextPublication details: Amsterdam : Elsevier, 2014.Edition: Second editionDescription: xxiv, 401 pages : illustrations ; 25 cmISBN: - 9780128000427
- 519.2 23
- QA273 .R864 2014
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | |
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Main Long
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Martin Oduor-Otieno Library This item is located on the library Second Floor | Non-fiction | QA273 .R864 2014 (Browse shelf(Opens below)) | 29956/19 | Available | MOOL19070218 |
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| QA273 .H694 1997 Probability and statistical inference / | QA273 .M225 2004 Multivariate probability / | QA273 .R82 2013 Simulation / | QA273 .R864 2014 An introduction to measure-theoretic probability / | QA273 .R8647 2014 Introduction to probability / | QA273 .T48 2012 Understanding probability / | QA273 .T48 2012 Understanding probability / |
Includes bibliographical references and index.
"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"--
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