In this introductory chapter, the concepts of a field and of a -field are introduced, they are illustrated by means of examples, and some relevant basic results are derived.
An edition of An Introduction to Measure-theoretic Probability
(2004)
An introduction to measure-theoretic probability
by George G. Roussas
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"An Introduction to Measure-theoretic Probability provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas will need. The approach is classical, and all proofs are presented in full detail."--BOOK JACKET
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Probabilities, Measure theory| Edition | Availability |
|---|---|
1
An introduction to measure-theoretic probability
2005, Elsevier Academic Press
in English
0125990227 9780125990226
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2
An Introduction to Measure-theoretic Probability
October 19, 2004, Academic Press
in English
0125990227 9780125990226
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3
An Introduction to Measure-theoretic Probability
October 19, 2004, Academic Press
Hardcover
in English
0125990227 9780125990226
|
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Book Details
Edition Notes
Includes bibliographical references (p. 431) and index.
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- Created September 20, 2008
- 8 revisions
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| December 30, 2022 | Edited by MARC Bot | import existing book |
| December 8, 2020 | Edited by MARC Bot | import existing book |
| October 8, 2020 | Edited by ImportBot | import existing book |
| August 1, 2020 | Edited by ImportBot | import existing book |
| September 20, 2008 | Created by ImportBot | Imported from Western Washington University MARC record |