Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Modern Multivariate Statistical Techniques offers a focused exploration of regression, classification, and manifold learning. Written by Alan J. Izenman for the Springer Texts in Statistics series, it provides a useful resource for readers studying multivariate statistics, mathematical methods, and contemporary data analysis.
About This Book
Modern Multivariate Statistical Techniques presents a contemporary treatment of methods for analyzing data with multiple variables.
The book focuses on regression, classification, and manifold learning, bringing together core topics in modern statistical analysis.
Written by Alan J. Izenman, it is part of the Springer Texts in Statistics series.
Its subject matter makes it relevant to readers seeking a structured reference or study resource in multivariate statistics and data science.
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