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Nº de artículo:
153185809
Probability Theory for Quantitative Scientists
89% of respondents would recommend this to a friend
Nº de artículo:
153185809
HNL 2202
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This book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style.
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What Stands Out
Comprehensive Coverage
This textbook offers an exhaustive examination of probability theory tailored for quantitative scientists, making complex concepts accessible and applicable across various scientific disciplines.
Practical Applications
Focuses on real-world applications of probability theory, enabling readers to effectively utilize statistical methods in their quantitative research and data analysis, enhancing practical understanding.
Expert Insights
Written by authorities in the field, this book provides expert insights and solutions, reinforcing foundational knowledge while addressing modern challenges faced by quantitative professionals.
Detalles de producto
- Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field.
| Publisher | Cambridge University Press |
| Publication date | 14 Aug. 2025 |
| Language | English |
| Print length | 424 pages |
| ISBN-10 | 1009580698 |
| ISBN-13 | 978-1009580694 |
| Item weight | 1.05 kg |
| Dimensions | 18.29 x 2.79 x 26.16 cm |
Who Should Buy?
-
Graduate Students
Ideal for graduate students pursuing advanced studies in quantitative fields requiring a solid foundation in probability theory.
-
Data Scientists
Perfect for data scientists looking to enhance their statistical analysis and modeling skills using probability theory principles.
-
Researchers
Beneficial for researchers needing rigorous methods in probability to interpret and model complex quantitative data effectively.
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Casual Readers
Not suitable for casual readers who do not have a strong background in mathematics or statistics.
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Higher Education Editorial Review
Probability Theory For Quantitative Scientists is a thorough guide published by Cambridge University Press, designed specifically for those seeking to grasp complex probabilistic concepts. With a substantial print length of 424 pages, the book provides detailed insights into the subject, making it an essential resource for quantitative researchers and scientists alike. The publication, set to release on 14 Aug. 2025, promises to be an invaluable asset for anyone delving into statistics and analytics.
Customer Reviews & Ratings
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ventajas
- Comprehensive coverage of probability theory
- Ideal for quantitative researchers
- Published by a reputable publisher
- Well-structured for easy understanding
- Suitable for both professionals and students
Contras
- Print length may be daunting for beginners
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características y beneficios
- Fresh and in-depth approach to probability and statistics.
- Intuitive and accessible writing style.
- Includes numerous examples and illustrations.
- Covers advanced methods like Markov chains and Poisson processes.
- Connects probability theory with modern research topics.
- Ideal for students and researchers in quantitative sciences.
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