Methods of multivariate analysis

by Alvin C. Rencher

Analyzing data from experiments that yield large numbers of intercorrelated variables can be a daunting task. With hundreds or even thousands of separate numbers to inspect, analysts use special tools known as multivariate statistical methods to locate and identify latent patterns within the raw data. This comprehensive volume - the finest introduction to the subject available - covers the most reliable multivariate techniques and offers many insights that can otherwise be found only in journal articles or in the minds of practitioners. Developed by Professor Alvin C. Rencher from his one-semester course at Brigham Young University, this book is tailored to the needs of students who are getting their first exposure to multivariate analysis. The careful, intuitive explanations of concepts and procedures are a model of clarity, and simple proofs provide a solid grounding for statistics majors while remaining accessible to nonmajors as well. Since many multivariate techniques are extensio