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Item #:
43453035
Applied Multivariate Statistical Analysis (Classic Version) (Pearson Modern Classics for Advanced Statistics Series)
88% of respondents would recommend this to a friend
Item #:
43453035
MAD 2151
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What Stands Out
Comprehensive Content
This edition offers an extensive exploration of multivariate statistical methods, catering to advanced learners and professionals seeking depth in statistical analysis for real-world applications.
Modern Relevance
Updated with contemporary examples and applications, this book addresses current statistics challenges, ensuring readers can effectively apply multivariate techniques in today's data-driven environment.
Rich Learning Resources
Includes a variety of resources like exercises and datasets, allowing readers to practice and enhance their analytical skills, making it an invaluable tool for both classroom and self-study.
Product Details
| Publisher | Pearson |
| Publication date | March 18, 2018 |
| Edition | 6th |
| Language | English |
| Print length | 808 pages |
| ISBN-10 | 0134995392 |
| ISBN-13 | 978-0134995397 |
| Item Weight | 2.25 pounds (1.02 kg) |
| Dimensions | 1.9 x 6.8 x 9.2 inches (4.8 x 17.3 x 23.4 cm) |
Who Should Buy?
-
Graduate Students
Ideal for students pursuing advanced degrees in statistics, mathematics, or related fields needing in-depth multivariate analysis understanding.
-
Data Analysts
Beneficial for data analysts requiring a comprehensive resource on multivariate statistical techniques for practical applications.
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Researchers
Useful for researchers conducting studies that involve complex data sets needing robust multivariate statistical methods.
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Beginner Statisticians
Not suitable for those new to statistics, as it requires prior knowledge of fundamental statistical concepts and techniques.
Product Description
Applied Multivariate Statistical Analysis (Classic Version) (Pearson Modern Classics for Advanced Statistics Series)
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Probability & Statistics Editorial Review
The Applied Multivariate Statistical Analysis 6th Edition is recommended for those with a math background seeking to learn the theory of multivariate statistics. It is a rigorous book, but without calculus. The first three chapters are foundational for notations, after that, any other chapter can be followed. It can be used as a reference text for stats, including theory. However, it lacks programming resources. The content of the book is dense with formulas, and a clean, more spacious format would have been ideal. Additionally, some customers complained about the book's paperback quality and international version printed on cheap paper.
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Pros
- Ideal for individuals with a math background
- Great for those needing to understand notations
- Can be used as a great reference text for statistics, including theory.
- Has examples that are great and very detailed.
- Kindle edition is portable and convenient
Cons
- Lacks programming resources
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