Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Mathematical Tools for Applied Multivariate Analysis, PDF eBook

Mathematical Tools for Applied Multivariate Analysis PDF

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

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.

Information

Information