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Informationen zum Autor Trevor Cox is a British academic and science communicator. He was a Senior Media fellow for EPSRC, and is a past-President of the Institute of Acoustics. Klappentext A comprehensive overview of multivariate data and analysis Providing an introduction to the subject of multivariate data analysis without delving deeply into underlying theory and concepts, An Introduction to Multivariate Data is an excellent resource for undergraduate statistics courses as well as for professionals who require an understanding of statistical techniques for analyzing their own data sets. Focused on real-world application, the book includes sample exercises in each chapter to firmly cement the concepts covered. Exercises range from simple problems that can be solved by hand or with a calculator, while others require the use of computer-based statistical software. Inhaltsverzeichnis 1 Introduction 1 2 Matrix Algebra 10 3 Basic Multivariate Statistics 22 4 Graphical Representation of Multivariate Data 41 5 Principal Components Analysis 49 6 Biplots 68 7 Correspondence Analysis 76 8 Cluster Analysis 87 9 Multidimensional Scaling 99 10 Linear Regression Analysis 118 11 Multivariate Analysis of Variance 131 12 Canonical Correlation Analysis 140 13 Discriminate Analysis and Canonical Variates Analysis 148 14 Loglinear Modelling 169 15 Factor Analysis 181 16 Other Latent Variable Models 195 17 Graphical Modelling 201 18 Data Mining 211 References 225 Index 227
