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21893716
Statistical Models: Theory and Practice
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товар №:
21893716
AMD 26062
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What Stands Out
Comprehensive Coverage
Offers an in-depth exploration of statistical models, blending theoretical foundations with practical applications, making it suitable for both students and professionals seeking to enhance their knowledge.
Updated Content
The second edition incorporates the latest developments in statistical theory, ensuring readers access modern techniques and methodologies, keeping their skills relevant in a rapidly evolving field.
Real-World Examples
Includes numerous real-world case studies that demonstrate the application of statistical models in various industries, helping readers relate theory to practical scenarios effectively.
Информация о продукте
| Publisher | Cambridge University Press |
| Publication date | April 27, 2009 |
| Edition | 2nd |
| Language | English |
| Print length | 458 pages |
| ISBN-10 | 0521743850 |
| ISBN-13 | 978-0521743853 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 6.69 x 1.04 x 9.61 inches (17 x 2.6 x 24.4 cm) |
Who Should Buy?
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Graduate Students
Ideal for graduate students seeking a comprehensive understanding of statistical models in various research fields.
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Data Scientists
Helpful for data scientists needing a deeper grasp of statistical theories to apply them in real-world scenarios.
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Academics and Researchers
Suitable for academics and researchers requiring robust statistical modeling frameworks for their studies and publications.
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Novice Learners
Not suitable for beginners lacking prior knowledge in statistics, as it assumes familiarity with complex concepts.
ОПИСАНИЕ ТОВАРА
Statistical Models: Theory and Practice
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Probability & Statistics Editorial Review
Statistical Models: Theory and Practice is a foundational text written by the late Professor David A. Freedman, a prominent figure in both theoretical and applied statistics. The book serves as a comprehensive guide on advanced statistical concepts, covering topics like regression, causal modeling, and bootstrap methods. Critics and collaborators, including notable statisticians like Persi Diaconis and Erich Lehmann, laud its clarity and depth, highlighting its importance for critical assessment in social and health science literature. This book expertly balances intuitive examples with solid mathematical theories, making it an essential resource for those seeking to understand statistical modeling, while also demanding a certain level of mathematical proficiency from its readers.
Customer Reviews & Ratings
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Плюсы
- Covers essential topics in applied statistics effectively
- Clear explanations with intuitive examples
- Supports critical thinking about statistical models
- Useful for students in math or statistics
- Includes answers for most exercises
Минусы
- Some concepts may lack sufficient motivation or depth
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