Multivariate Data Analysis(5th Edition)
Authors:
William C. Black, Rolph E. Anderson, Ronald L. Tatham, Joseph F. Hair
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 0139305874, 9780139305870
Book publisher: Pearson
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Book Price $0 : Multivariate Data Analysis by William C. Black, Rolph E. Anderson, Ronald L. Tatham, and Joseph F. Hair is a seminal work in the field of statistical analysis, providing a comprehensive exploration of multivariate techniques. This book equips readers with the skills necessary to analyze complex data sets using multivariate methods such as regression, factor analysis, cluster analysis, and structural equation modeling. The fifth edition enhances understanding through detailed explanations and a structured approach to learning, supported by a solution manual that guides students through various statistical problems. The inclusion of an answer key facilitates student learning by providing clear solutions to complex problems. The table of contents is meticulously organized, allowing readers to easily navigate through topics ranging from basic statistical concepts to advanced multivariate methodologies. This edition of Multivariate Data Analysis also integrates contemporary statistical software applications, ensuring that students can apply theoretical concepts to real-world data scenarios. The book has been well-received in academic circles, serving as an essential resource for students and professionals alike who are engaged in quantitative research. With LSI context, it covers statistical methodologies, econometric models, data reduction techniques, predictive analytics, and data mining processes, exemplifying the wide-ranging applications of multivariate data analysis in fields like economics, social sciences, and business. This work provides cheap insights that help demystify difficult coursework for cheaper credit hours.
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DC
What sets this book apart is its extensive range of well-explained examples that cater to different learning needs. As someone who's just embarking on a data science career, I found the examples particularly enlightening. However, the initial chapters do require a firm grasp of statistical concepts, which might be intimidating for absolute newbies. Still, it’s a great book to have in your collection.
HS
This book is an absolutely outstanding resource for anyone involved in data analysis! Having worked in analytics for several years, I found the explanations clear and highly applicable. The authors did a fantastic job balancing theoretical perspectives with practical examples, making it accessible yet comprehensive. Plus, it arrived really quickly and was packaged well. I also received a good discount with my subscription, making this purchase all the more worthwhile!
IC
Multivariate Data Analysis, 5th Edition is a must-have for anyone teaching or learning data science. I use it as a reference for my university lectures, and students appreciate the well-structured content that covers a wide range of topics thoroughly. It digs deep into complex statistical methods with great examples that illustrate applications in real-world cases. Also, I got it at a discounted price with my membership. Top-notch!
ET
The book is extremely informative, offering a good balance between theoretical concepts and practical application, which makes it ideal for professionals and scholars alike. The only drawback seems to be the density of the material—it can be quite overwhelming for beginners who are new to multivariate techniques. Nevertheless, it's a valuable resource for more advanced learners. Delivery was prompt, though.
CC
I'd say this is a decent introduction to multivariate data analysis. However, some sections felt a bit too theoretical with not enough practical application examples, which I hoped to find more of. Anyway, it arrived on time, well-packaged, and in perfect condition. It's an okay read if you already have some background in the field.






































