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Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
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€ 111
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This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion.
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Produkto Aprašymas
- Comprehensive coverage of measure-theoretic probability theory
- Focus on laws of large numbers, central limit theorems, martingales, Markov chains, and Brownian motion
- Emphasis on practical applications with extended examples
- New chapter on multidimensional Brownian motion and its relationship to partial differential equations
- Inclusion of key exercises directly inserted into the text as lemmas
- Reinstatement of discussion on central limit theorem for martingales and stationary sequences
| Publisher | Cambridge University Press |
| Publication date | April 18, 2019 |
| Edition | 5th |
| Language | English |
| Print length | 432 pages |
| ISBN-10 | 1108473687 |
| ISBN-13 | 978-1108473682 |
| Item Weight | 2.07 pounds (940 grams) |
| Dimensions | 7.24 x 1.17 x 10.24 inches (18.4 x 3 x 26 cm) |
| Part of series | Cambridge Series in Statistical and Probabilistic Mathematics |
Who Should Buy?
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Graduate Students
This book is ideal for graduate students studying advanced probability theories and applications in various fields.
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Researchers
Researchers in mathematics, statistics, or related fields will benefit from the theoretical insights and practical examples provided.
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Educators
Educators looking to teach probability concepts will find this book a comprehensive resource for course material and exercises.
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Beginners
Individuals new to probability may find the advanced concepts challenging without prior foundational knowledge.
PRODUKTO APRAŠYMAS
Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
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Probability & Statistics Editorial Review
The "Probability (Theory and Examples)" textbook has received mixed reviews from customers. While some compliment the book for being a fantastic and comprehensive resource for advanced probability topics, others are dissatisfied with the quality of the book, particularly the thickness of the pages and the physical make-up of the 5th edition. The positive reviewers highlight that the book is a well-rounded resource with well-explained examples and concepts, making it suitable for graduate students and researchers interested in probability theory, statistics, and electrical engineering. They appreciate the corrected mistakes from previous editions and the addition of beautiful examples in the 5th edition. Conversely, the negative feedback focuses on the physical attributes of the book, particularly the thinness of the pages, the quality of the cover, and the perceived unnecessary addition of proofs for certain exercises. Some even express a preference for the previous edition due to these factors. Overall, "Probability (Theory and Examples)" is perceived as a good resource for advanced probability theory, but potential buyers should be aware of the concerns regarding the physical quality of the 5th edition.
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Argumentai
- Comprehensive resource for advanced probability topics
- Well-explained examples and concepts
- Corrected mistakes from previous editions
Minusai
- Thin pages
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Savybės ir privalumai
- Comprehensive coverage of measure-theoretic probability.
- Focus on laws of large numbers and central limit theorems.
- Includes practical examples and applications for better understanding.
- New chapter on multidimensional Brownian motion and PDEs.
- Rigorously designed for graduate-level students and researchers.
- Updated exercises integrated into the text for enhanced learning.
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