Mathematical Tools For Applied Multivariate Analysis
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Mathematical Tools for Applied Multivariate Analysis
Green's name appears first on the earlier edition.
Mathematical Tools for Applied Multivariate Analysis
Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students.
Mathematical Tools for Applied Multivariate Analysis
The nature of multivariate data analysis; Vector and matrix operations for multivariate analysis; Vector and matrix concepts from a geometric viewpoint; Linear transformations from a geometric viewpoint; Decomposition of matrix transformations: eigenstructures and quadratic forms; Applying the tools to multivariate data.