Multivariate Statistics: Classical Foundations and ModernMachine Learning - Hemant Ishwaran
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Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
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.
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Kirjeldus
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.
Lisateave
| Autor | Hemant Ishwaran |
|---|---|
| Kirjastaja | Taylor & Francis Ltd |
| Väljalaskeaasta | 2025 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9781032758794 |