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Item #:
82471776
Introduction to Probability Models
90% of respondents would recommend this to a friend
Item #:
82471776
XPF 11960
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A trusted market leader for four decades, Sheldon Ross’s Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research.
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What Stands Out
Comprehensive Coverage
This edition provides thorough insights into probability models, addressing complex concepts with clear explanations and examples, making it suitable for both beginners and advanced learners.
Real-World Applications
Includes practical applications and real-world scenarios, helping students connect theoretical concepts to practical use, enhancing understanding and retention of probability principles.
Updated Content
Features the latest advancements in probability theory and modeling techniques, providing students with the most current knowledge in the field, ensuring relevance in academic and professional settings.
Product Details
| Publisher | Academic Press |
| Publication date | July 19, 2023 |
| Edition | 13th |
| Language | English |
| Print length | 870 pages |
| ISBN-10 | 0443187614 |
| ISBN-13 | 978-0443187612 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 5.98 x 1.34 x 9.06 inches (15.2 x 3.4 x 23 cm) |
Who Should Buy?
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Statistics Students
Ideal for undergraduate and graduate students studying statistics, enabling them to grasp probability concepts effectively.
-
Data Analysts
Helpful for data analysts seeking to understand and apply probability models in their data-driven decision-making processes.
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Professionals in Research
Suitable for researchers in various fields needing a solid foundation in probability to support their scientific inquiries.
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Casual Readers
Not suitable for general readers looking for light reading, as it is a technical and academically rigorous text.
Product Description
Introduction to Probability Models
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Features & Benefits
- Market leader for over 40 years.
- Comprehensive foundation in probability models.
- Applicable across various disciplines including engineering and computer science.
- Includes hallmark exercises and real-world examples.
- Organized for ease of understanding for students and professors.
- New coverage on Martingales included.
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