A First Course in Multivariate Statistics (Springer Texts in Statistics)

Rating:
Summary: Great for self instruction
Review: I have found this text excellent. We are a group of scientists (from several different fields) who used this text to teach ourselves the fundamentals of multivariate statistics. The Matlab scripts were essential in showing us how to perform some of these difficult computations correctly. The use of a simple data set example throughout the text (using 15 midges) was helpful. The theory chapters are difficult, and it helped that one of us is a mathematician. In the end, we have been able to understand and apply some of these tools well. In my opinion, some of the other standard textbooks, such as Johnson and Wichern, are less appealing in several of these respects.

Rating:
Summary: Great for self instruction
Review: Lack of clear examples made this book a terrible supplement to my multivariate statistics curriculum. I would recommend 'Applied Multivariate Statistical Analysis' by Johnson and Wichern for the graduate student first tackling this difficult topic.

Rating:
Summary: Terrible introductory book for graduate students in stats
Review: Lack of clear examples made this book a terrible supplement to my multivariate statistics curriculum. I would recommend 'Applied Multivariate Statistical Analysis' by Johnson and Wichern for the graduate student first tackling this difficult topic.

Rating:
Summary: Excellent
Review: This is a wonderful book. Flury goes out of his way to provide thoughtful explanations rather than just the mathematical machinery. Thankfully this is not another bland exhaustive book of multivariate methods/recipes, but has carefully chosen topics including discriminant analysis, logistic regression, mixture models and the EM algorithm.

It was fun working through this book.