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Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
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.
Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
Item #: 22477724

Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)

Item #: 22477724

BIF 359040

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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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What Stands Out

Comprehensive Coverage
Delivers an extensive exploration of probability theory, catering to both beginners and advanced learners, ensuring a robust understanding of fundamental concepts and complex applications.
Updated Content
This 5th edition includes recent advancements and methodologies in probability, making it a current and relevant resource for students and professionals seeking to stay updated in the field.
Clear Explanations
Offers clear, concise explanations along with practical examples and exercises, effectively bridging the gap between theoretical concepts and real-world applications for enhanced learning.

Product Details

Explore the 5th Edition of Probability: Theory and Examples by Cambridge Series in Statistical and Probabilistic Mathematics at Ubuy, the leading Burundi for all your shopping needs.
  • 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?

Suitable For
  • Graduate Students

    This book is ideal for graduate students studying advanced probability theories and applications in various fields.

  • Researchers

    Researchers in mathematics, statistics, or related fields will benefit from the theoretical insights and practical examples provided.

  • Educators

    Educators looking to teach probability concepts will find this book a comprehensive resource for course material and exercises.

Not Suitable For
  • Beginners

    Individuals new to probability may find the advanced concepts challenging without prior foundational knowledge.

Product Description

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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Pros

  • Comprehensive resource for advanced probability topics
  • Well-explained examples and concepts
  • Corrected mistakes from previous editions

Cons

  • Thin pages

Product Price History

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