Applied Multivariate Data Analysis

Applied Multivariate Data Analysis, Volume 1, provides a comprehensive guide to managing and interpreting complex data sets. Authors Brian Everitt and Graham Dunn begin with a foundational introduction to data analysis and the necessary statistical knowledge required for advanced study. This textbook serves as a rigorous resource for students and professionals working within the field of multivariate analysis.

The text covers a wide range of modern statistical techniques to ensure readers can navigate intricate datasets with precision. Key topics include multidimensional scaling, cluster analysis, generalized linear models, and structural equation models. By focusing on these contemporary methods, Applied Multivariate Data Analysis, Volume 1, offers a practical approach to mastering the mathematical frameworks used in modern research and data science.