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This book provides readers with an excellent treatment of the elements of probability theory and their applications. It is highly readable, fast-moving, and self-contained. The clear exposition, ample illustrations and problems, cross-references, index, and bibliography make this book useful for self-study or the classroom.
Item #:
31041038
Probability Theory: A Concise Course (Dover Books on Mathematics)
89% of respondents would recommend this to a friend
Item #:
31041038
CAD 23
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This book provides readers with an excellent treatment of the elements of probability theory and their applications. It is highly readable, fast-moving, and self-contained. The clear exposition, ample illustrations and problems, cross-references, index, and bibliography make this book useful for self-study or the classroom.
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What Stands Out
Concise Content
Provides a streamlined overview of probability theory, making complex concepts accessible without overwhelming details, perfect for students and professionals needing a quick reference.
Affordable Resource
As part of the Dover Books on Mathematics series, this course offers high-quality mathematical content at a price point that is budget-friendly, ensuring great value for all learners.
Practical Applications
Includes real-world examples and applications, helping readers connect theoretical concepts to practical scenarios, enhancing understanding and retention of probability theory.
Product Details
- A concise introduction to modern probability theory and its applications
- Suitable for natural scientists and mathematicians
- Covers basic concepts, combination of events, and dependent events
- Explains Bernoulli trials and the De Moivre-Laplace theorem
- Includes discussions on limit theorems and Markov chains
- Appendixes on information theory, game theory, branching processes, and optimal control
| Publisher | Dover Publications |
| Publication date | June 1, 1977 |
| Language | English |
| Print length | 160 pages |
| ISBN-10 | 0486635449 |
| ISBN-13 | 978-0486635446 |
| Item Weight | 10.4 ounces (294.84 grams) |
| Dimensions | 5.66 x 0.33 x 8.18 inches (14.4 x 0.8 x 20.8 cm) |
| Part of series | Dover Books on Mathematics |
Who Should Buy?
-
Students Learning Probability
Ideal for undergraduate students grasping probability concepts, offering a clear and concise introduction to essential topics.
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Self-learners
Great resource for individuals studying independently, providing structured content and practical examples for self-paced learning.
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Professionals in Statistics
Beneficial for professionals seeking a quick reference guide to probability theory for applications in statistics and data analysis.
-
Advanced Researchers
Not suitable for experts needing in-depth exploration of probability theories, as it offers a more simplified approach.
Product Description
Probability Theory: A Concise Course (Dover Books on Mathematics)
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Product Buying Guide
Probability Theory: A Concise Course is a comprehensive book that provides a succinct introduction to modern probability theory and its applications. It is an essential resource for natural scientists and mathematicians, covering basic concepts as well as advanced topics such as limit theorems, Markov chains, and continuous Markov processes.
Product Specifications
- Y. A. Rozanov
- Dover Publications
- English
- 1
- 224
- 0486780640
- 978-0486780640
Key Features
- Comprehensive coverage of modern probability theory
- Numerous applications in natural sciences and mathematics
- Includes basic concepts, combination of events, random variables, and important probability distributions
- Detailed treatment of limit theorems, Markov chains, and continuous Markov processes
- Succinct and fast-moving style suitable for self-study or classroom use
- Ample illustrations, problems with hints and answers, cross-references, index, and bibliography
Usage Scenarios
- Self-study for individuals with some knowledge of mathematics
- Classroom resource for instructors teaching probability theory
- Reference for natural scientists and mathematicians applying probability concepts in their work
Some User Review
- The book is a gem for those seeking to understand probability theory thoroughly. The explanations are clear, and the problems are helpful for reinforcing concepts. Definitely recommended for self-study and classroom use.
- I found the treatment of limit theorems and Markov chains particularly insightful. The author's writing style makes complex topics easy to grasp. Excellent resource for anyone interested in probability theory.
Competitors
- The price of this book varies across different vendors, and occasional discounts may be available. It is advisable to check multiple retailers for the best deals.
Buying Considerations
- Consider your level of understanding in mathematics before purchasing this book, as it is designed for individuals with some prior knowledge of the subject.
- If purchasing for classroom use, ensure that the book aligns with the curriculum and teaching approach.
- Check for any additional material or revisions added by the translator, as these can enhance the value of the book.
Conclusion
Probability Theory: A Concise Course is an indispensable resource for anyone seeking a thorough understanding of modern probability theory and its practical applications. With its comprehensive coverage, clear explanations, and ample illustrative material, it is highly recommended for self-study, classroom use, and reference purposes.
View LessProbability Theory: A Concise Course is a comprehensive book that provides a succinct introduction to modern probability theory and its applications. It is an essential resource for natural scientists and mathematicians, covering basic concepts as well as advanced topics such as limit theorems, Markov chains, and continuous Markov processes. Continue Reading
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Probability & Statistics Editorial Review
Probability Theory: A Concise Course received mixed reviews from customers. Some appreciate the technical mathematics and concise style of the book, which makes it an excellent reference book for intermediate math readers, who have prior knowledge in probability theory. The book is top-notch, rigorous, and covers a lot of ground with important theorems and proofs. However, the book is too concise and does not provide everyday examples to help readers grasp complex concepts. On the other hand, some reviewers who were hoping for more comprehensive material found this book too basic. Overall, the book is a great companion to an undergraduate probability intro course and an excellent reference book for those with prior knowledge.
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Pros
- Excellent reference book
- Top-notch, rigorous content
- Covers a lot of ground
- Great companion to undergraduate probability intro course
- Many examples with solutions
Cons
- Too concise
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Features & Benefits
- A concise introduction to modern probability theory and its ramifications.
- Covers basic concepts, combination of events, dependent events and random variables, Bernoulli trials, and the De Moivre-Laplace theorem.
- Also covers limit theorems, Markov chains, continuous Markov processes, and appendixes on information theory, game theory, branching processes, and problems of optimal control.
- Includes relevant problems (150 of them) and their hints and answers.
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