This text aims to help researchers and students to understand the purpose and presentation of multivariate statistical techniques. The most commonly used techniques are described in detail, such as multiple regression and correlation and path analysis
Customer Reviews:
Avg. Customer Rating: 4.5 / 5.0
Excellent high-level overview:
This book is an excellent high-level overview of multivariate statistics and the techniques for working with multivariate data. It doesn't go into detail making it a very good read for people wanting to learn multivariate concepts.
Reading and Understanding Multivariate Statistics by Grimm:
A good resource for someone taking a psyc stat class.
Fantastic Treatment of Sophisticated Mathemeatical Concepts:
I've long wanted a better explanation of Eigenvectors and Eigenvalues than I recieved in a econometrics or statistics textbook. This book gives me an incredibly clear understanding of what they are. Now when I look back at the mathematical interpretation again it means so much more. This is a fantastic book that would highly recommend to anyone wanting a clear conceptual understanding of these sophisticated topics. 5 stars, no questions about it!
Great Resource for Statistics:
In many introductory statistics courses you usually do not cover multivariate statistics. This book and its companion volume are useful for anyone in upper level undergraduate or graduate programs. It is a great reference to have when planning research.
You can read it all at once to get a general understanding of this area or you can look at it as you need it as a reference. It was much better than the statistics books I have had as required reading in courses. It's a great resource overall!
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