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- Introduction to Probability Models
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Nº de artículo:
28080306
Introduction to Probability Models
89% of respondents would recommend this to a friend
Nº de artículo:
28080306
CLP 97348
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Introduction to Probability Models is the latest version of Sheldon Ross's classic bestseller.
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What Stands Out
Comprehensive Coverage
This edition offers an exhaustive look at probability theory, incorporating diverse applications and real-world examples that enhance understanding for students in various fields.
Interactive Learning
Engaging exercises throughout the textbook foster critical thinking and application of concepts, making it easier for students to grasp the principles of probability.
Expert Authorship
Written by leading experts in the field, this edition ensures clarity and precision, providing authoritative insights that enhance the learning experience and ensure students are well-prepared.
Detalles de producto
- Latest version of Sheldon Ross's classic bestseller
- Introduces elementary probability modelling and stochastic processes
- Shows how probability theory can be applied in various fields
- Retains a superior writing style and excellent exercises and examples
- Includes real-world applications in engineering, science, business, and economics
- Offers updated examples and exercises, as well as material for Exam 3 of the Society of Actuaries
| Publisher | Academic Press |
| Publication date | April 12, 2019 |
| Edition | 12th |
| Language | English |
| Print length | 842 pages |
| ISBN-10 | 0128143460 |
| ISBN-13 | 978-0128143469 |
| Item Weight | 3.09 pounds (1.4 kg) |
| Dimensions | 6.25 x 1.5 x 9.25 inches (15.9 x 3.8 x 23.5 cm) |
Who Should Buy?
-
Students in Statistics
Ideal for college students studying statistics or probability theory, providing foundational concepts and models in depth.
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Professionals in Data Science
Suitable for data scientists who require an understanding of probability models to analyze and interpret complex data.
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Researchers and Academics
Beneficial for researchers in fields requiring rigorous probabilistic and statistical modeling to support empirical investigations.
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Beginners in Mathematics
Not suitable for those without a strong mathematics background as the concepts may be challenging and advanced.
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Introduction to Probability Models
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Probability & Statistics Editorial Review
Introduction to Probability Models is a comprehensive textbook published by Academic Press that spans 842 pages in its 12th edition. The book delves into fundamental concepts such as probability axioms, distribution functions, and conditional probability, making it particularly suitable for graduate-level courses. Students appreciate the clear explanations and the logical organization of topics ranging from Markov chains to Poisson processes. A notable feature is the answer key for exercises available online, facilitating studying for students. However, readers have expressed frustration with the Kindle format, stating that it disrupts the reading experience by splitting pages when adjusting font size.
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ventajas
- Clear explanations on complex topics
- Comprehensive coverage of probability concepts
- Structured organization enhances learning
- Online answer key available for exercises
- Good exercises and examples provided
Contras
- Kindle format can be frustrating for some users
Product Price History
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CLP 97348
Haz tu pedido ahora y recíbelo por ahí Miércoles, Octubre 21
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características y beneficios
- Trusted and widely acclaimed book in the field of probability modeling.
- Covers a wide breadth of probability topics.
- Includes real-world applications in various fields.
- Recipient of a 2020 Textbook Excellence Award.
- Updated examples and exercises throughout the book.
- Includes required material for Exam 3 of the Society of Actuaries.
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