Multivariate Statistical Methods: A Primer

offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous editions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.

Features

A concise and accessible conceptual approach that requires minimal mathematical background.

Suitable for a wide range of applied statisticians and professionals from the natural and social sciences.

Presents all the key topics for a multivariate statistics course.

The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R.

The data from examples and exercises are available on a