Measure Integral And Probability
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Measure, Integral and Probability
Author | : Marek Capinski |
Publisher | : Springer Science & Business Media |
Total Pages | : 229 |
Release | : 2013-06-29 |
Genre | : Mathematics |
ISBN | : 1447136314 |
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This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on measure, many illustrative examples and applications, including a thorough discussion of standard probability distributions and densities, are opened. The book also includes many problems and their fully worked solutions.
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Language: en
Pages: 229
Pages: 229
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media
This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on me
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Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics incl
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Measure, Integral and Probability is a gentle introduction that makes measure and integration theory accessible to the average third-year undergraduate student.
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Type: BOOK - Published: 2020-11-30 - Publisher: Springer Nature
The text contains detailed and complete proofs and includes instructive historical introductions to key chapters. These serve to illustrate the hurdles faced by
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Pages: 450
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In these lecture notes we give a self-contained and concise introduction to the essentials of modern probability theory. The material covers all concepts and te