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Item #:
104402284
Probability Theory, An Analytic View
Item #:
104402284
GYD 22010
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The third edition provides a rigorous yet entertaining introduction to probability theory, making it ideal for first-year graduate students.
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What Stands Out
Comprehensive Coverage
This book provides an in-depth exploration of probability theory, ensuring a thorough understanding for students and professionals alike, making it a vital resource for anyone looking to master the subject.
Analytic Approach
Employing a unique analytic perspective, this title demystifies complex concepts, allowing readers to grasp intricate theories and applications, which distinguishes it from standard probability texts.
Updated Content
Published in November 2024, this book features the latest research and advancements in probability theory, ensuring relevance and accuracy for contemporary academic and practical applications.
Product Details
| Publisher | Cambridge University Press |
| Publication date | 21 Nov. 2024 |
| Edition | 3rd |
| Language | English |
| Print length | 468 pages |
| ISBN-10 | 1009549006 |
| ISBN-13 | 978-1009549004 |
| Item weight | 850 g |
| Dimensions | 17.81 x 2.69 x 25.4 cm |
Who Should Buy?
-
Students of Mathematics
Ideal for students seeking a thorough understanding of probability theory concepts and analytic methods used in mathematics.
-
Data Scientists
Beneficial for data scientists who require a solid foundation in probability for analyzing data and algorithms.
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Researchers in Statistics
Suitable for researchers needing in-depth perspectives on probability theory to apply in various statistical research contexts.
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Casual Readers
Not suitable for casual readers looking for a light introduction to probability; this book is academically rigorous.
Product Description
Probability Theory, An Analytic View
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Mathematical Analysis Editorial Review
Probability Theory, An Analytic View is a comprehensive text published by Cambridge University Press, set to be released on 21 Nov. 2024. This 3rd edition spans 468 pages, providing a deep dive into the analytical aspects of probability theory. With a focus on clarity and rigor, it aims to serve both students and professionals looking to enhance their understanding of probability concepts. The book is presented in English and contains insightful examples and applications, making it suitable for learners of various backgrounds. Its sizeable weight and dimensions ensure that it is a substantial resource for study and reference.
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Pros
- Comprehensive coverage of probability concepts
- Analytical approach enhances understanding
- Suitable for both students and professionals
- Published by a reputable publisher
- Well-structured content for ease of learning
Cons
- Weight might make it less portable for some readers
Product Price History
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GYD 22010
Order now and get it around Monday, October 26
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Features & Benefits
- Rigorous yet entertaining introduction to probability theory.
- Ideal for first-year graduate students with a solid foundation.
- Includes the Gaussian isoperimetric inequality.
- Over 750 exercises to enhance understanding.
- Covers weak convergence of measures and its application to the central limit theorem.
- Explores the connection between probability theory and partial differential equations.
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