Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) 2007th Edition

I had missing pages. Also, I had pages that are connected, so I had to split them by scissors. They refuse to return the book since, it's been more than a month. But how can I check for blank pages in a big textbook.

It deserves SIX stars. Very briefly:I came across several books of matrix algebra. This is probably the most comprehensive, captivating and informative.In case of doubts or needs of research about any issue on matrix algebra and methods for analyzing/computing multivariate structures, this is the place to go.Nothing is missing.It is not structured with definitions, lemmas, theorems, corollaries. It explains and clearly *proves* every concept in a talkative manner, extremely formal yet. When things gets complicated, it always refers to the proper paragraph for helping the reader to connect the dots.Computational solutions are described in strict mathematical words (no pseudo code) step by step.Overall, this is a wonderful piece work.

I think it's one of the best books on the subject, all theorems with demonstration, a lot of examples and problems solved (I like specially the chapter about Generalized Inverse matrix)... ...written in Latex so it looks very "beautiful"...ALL what you wanted to know about matrix theory is in this book ... very rigourous, with modern notation for matrices and vectors, besides it covers almost all subjects related with the application of matrix theory (...for a statistician who works in multivariate analysis or linear models this book should be THE BIBLE...).Besides it is much modern than many of the good books in the subject (Gantmacher for example). I love this book

Very well focused on statistics topics.

good

Makes Linear Algebra look incohmprehnsible. I am going to get the two books from Blith-Robertson to learn the subject thoroughly.A waste of money