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Multivariate Statistics: Classical Foundations and Modern Machine Learning Ishwaran, Hemant (University of Miami, U.S.A)
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Multivariate Statistics: Classical Foundations and Modern Machine Learning
Ishwaran, Hemant (University of Miami, U.S.A)
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests, variable importance, and causal inference.
504 pages, 36 Tables, black and white; 113 Line drawings, color; 16 Line drawings, black and white;
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 30. marts |
| ISBN13 | 9781032758794 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 466 |
| Izmēri | 150 × 220 × 20 mm · 1,14 kg |
| Valoda | Angļu |
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