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Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition 2nd Edition
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Product Details
| Publisher | Wiley; 2nd edition (October 26, 2001) |
| Language | English |
| Hardcover | 830 pages |
| ISBN-10 | 9780471333418 |
| ISBN-13 | 978-0471333418 |
| Item Weight | 2.88 pounds (1.31 kg) |
| Dimensions | 6.4 x 1.6 x 9.5 inches (16.3 x 4.1 x 24.1 cm) |
Product Description
Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition 2nd Edition
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Networking & Cloud Computing Editorial Review
The textbook "Probability and Statistics with Reliability, Queuing and Computer Science Applications" by Professor Kishor S. Trivedi has garnered significant acclaim from both students and educators in the fields of engineering, computer science, and applied mathematics. Many reviewers have praised the clarity of theoretical explanations and the well-structured presentation of complex concepts, making it a highly recommended resource for teaching and studying Probability Theory. The book begins with foundational principles, progressing seamlessly into stochastic processes, reliability modeling, and queuing theory, which is beneficial for a comprehensive understanding of these topics. While the book is particularly well-suited for those with some prior knowledge of probability and statistics, it may present challenges for novices who might struggle with the depth of content. Nevertheless, its extensive selection of real-life examples, rigorous problems, and engaging exercises has proven invaluable for reinforcing concepts and fostering a practical understanding of the material. Many users noted that the book served as a critical reference point during their advanced studies and research, citing its relevance particularly in fields like networking and communication. Overall, Professor Trivedi's work is held in high regard for its ability to blend theory with application, providing a robust framework that benefits both academic pursuits and professional development. The integration of contemporary research topics and a focus on practical application further enhance its value, making it indispensable for students, teachers, and industry professionals alike.
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Pros
- Clear and structured presentation of complex concepts
- Extensive examples and real-life applications
- Strong focus on stochastic processes and reliability modeling
- Highly recommended for both beginners and experienced practitioners
- Beneficial for a variety of fields, particularly in engineering and computer sciences
Cons
- May be challenging for novices lacking foundational knowledge
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