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Book synopsis

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.

Book details

• Full title: Multivariate Statistics
• Subtitle: Classical Foundations and ModernMachine Learning
• Author: Ishwaran, Hemant (University of Miami, U.S.A)
• Language: English
• Binding: Hardback
• Number of pages: 504
• EAN: 9781032758794
• ID: 46527169
• Publisher: Taylor & Francis Ltd
• Weight: 1060 g
• Dimensions: 254 × 178 mm
• Date of publishing: 20. March 2025

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