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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
INR 1455
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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.
-
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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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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