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Details for:
Hardle W. Applied Multivariate Statistical Analysis 6ed 2024
hardle w applied multivariate statistical analysis 6ed 2024
Type:
E-books
Files:
4
Size:
61.3 MB
Uploaded On:
Oct. 1, 2024, 9:18 a.m.
Added By:
andryold1
Seeders:
7
Leechers:
5
Info Hash:
3506EC907D5AA5907568ADE7A48218283310235C
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Textbook in PDF format Now in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. Each chapter features hands-on exercises that showcase applications across various fields of multivariate data analysis. These exercises utilize high-dimensional to ultra-high-dimensional data, reflecting real-world challenges in big data analysis. For this new edition, the book has been updated and revised and now includes new chapters on modern machine learning techniques for dimension reduction and data visualization, namely locally linear embedding, t-distributed stochastic neighborhood embedding, and uniform manifold approximation and projection, which overcome the shortcomings of traditional visualization and dimension reduction techniques. Solutions to the book’s exercises are supplemented by R and MatLAB or SAS computer code and are available online on the Quantlet and Quantinar platforms. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions
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Readme-!!!_Math.txt
1.3 KB
Johnson R. Applied Multivariate Statistical Analysis 6ed 2014.pdf
7.8 MB
Hardle W. Applied Multivariate Statistical Analysis 6ed 2024.pdf
24.3 MB
Johnson R. Applied Multivariate Statistical Analysis 6ed 2014 Sol key.pdf
29.3 MB
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