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Item #:
21893716
Statistical Models Theory and Practice
88% of respondents would recommend this to a friend
Item #:
21893716
€ 59
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This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own.
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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.
Product Details
| 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.
Product Description
Statistical Models Theory and Practice
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Probability & Statistics Editorial Review
In this book review, the reviewer applauds the author for simplifying statistical thinking and removing confusing technicalities found in traditional treatments of statistics. The book is lauded for providing the motivation, ideas, and insights behind statistical thinking. The book is Considered a good secondary text for students in math or statistics but not the best as a standalone text. The reviewer recommends the book for anyone looking to achieve a solid background in statistical modeling. However, it is noted that the book may not be suitable for individuals without a mathematical background in linear algebra and probability. The book is also criticized for falling flat in some areas like not providing a derivation for OLS and having a weak motivation for the chapter on maximum likelihood. In general, the book is regarded as a balance between intuitive examples and solid mathematical theories. **
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Pros
- Simplifies statistical thinking and removes confusing technicalities
- Provides the motivation, ideas, and insights behind statistical thinking
- Good secondary text for students in math or statistics
- Suitable for anyone looking to achieve a solid background in statistical modeling
- A balance between intuitive examples and solid mathematical theories
Cons
- May not be the best standalone text
Product Price History
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Features & Benefits
- Explains the basic ideas of association and regression.
- Focuses on linear models including generalized least squares and two-stage least squares with probits and logits for binary variables.
- Develops the bootstrap as a technique for estimating bias and computing standard errors.
- Provides background material on study design, bivariate regression, and matrix algebra.
- Contains exercises, most with answers, and versatile structure.
- Written for advanced undergraduates, beginning graduates, and professionals in social and health sciences.
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