Statistical Shape Analysis With Applications In R(2nd Edition)
Authors:
Ian L. Dryden, Kanti V. Mardia
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 0470699620, 9780470699621
Book publisher: Wiley
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Customer Reviews
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FS
This book serves as a solid resource for understanding the nuances of statistical shape analysis. There are many clear explanations that demystify complex topics, which I found very beneficial. I was able to use my membership to get an extra discount, which made the purchase even more worthwhile. The inclusion of R applications presented real-world scenarios, and the datasets provided are excellent for practice. However, an additional online resource with tutorials would have been a nice touch to complement the book.
KB
Utilizing a perfect mix of theory and practice, this book is quite resourceful for anyone interested in statistical methodologies involving shape analytics. My copy came promptly without any hassle. The material is well-organized, and the R code snippets guide you through practical application seamlessly. Though it touches on advanced aspects, sometimes the deep theoretical parts seem slightly extensive, requiring supplementary reading material. Nonetheless, it's a valuable addition to any statisticians' library.
PT
Statistical Shape Analysis With Applications In R is an outstanding book for anyone diving deep into statistical shape analysis. The authors have done an exceptional job balancing complex theory with practical examples, making it accessible for both novice and seasoned statisticians. The R applications are top-notch, providing hands-on experience that enhances understanding. The book arrived quickly and was well-packaged. I appreciated how it dives into both foundational concepts and advanced techniques, making it a comprehensive resource. Thoroughly recommend to anyone in the field!





























